ELECTRE ve PROMETHEE’nin Güncel Uygulama Alanları: Bir Alanyazın Taraması

Öz

Çok kriterli karar verme teknikleri günümüzde oldukça yaygın olarak kullanılmaktadır. Bu çalışmada çok kriterli karar verme tekniklerinin üstünlük tabanlı sınıfında yer alan ELECTRE ve PROMETHEE’nin Türkiye ve Dünyadaki güncel kullanım alanları incelenmiştir. Bu bağlamda 2016 yılı ve 2017 yılı ilk dört ayında gerçekleştirilen çalışmalar Google Scholar yardımıyla taranmıştır. Böylelikle ELECTRE ve PROMETHEE’nin gelişimindeki son durumun ortaya konulması ve gelecekteki uygulama biçim ve alanları hakkında fikir verilmesi amaçlanmıştır. Sonuç olarak çalışmalarda, ELECTRE ve PROMETHEE’nin çeşitli alanlardaki uygulama problemlerinin ortadan kaldırılmaya çalışıldığı, özel durumlara uygun yöntemler tasarlandığı görülmüştür. Ayrıca senaryo farklılaşmalarına göre değerlendirme yapılması, metasezgiseller ile karmaşık karar problemlerinin çözülmesi, kararsız bulanık uygulamalarının yaygınlaşması, grup kararı tercihinin artması, hibrid tekniklerin uygulama sayısının fazlalaşması, kullanılan yazılımlar, duyarlılık analizleri, bulanıklaştırmada iki dilsel yaklaşımının önemli yer edinmesi dikkat çekici sonuçlar olarak tespit edilmiştir.

Anahtar Kelimeler

• Çok Kriterli Karar Verme,ELECTRE,PROMETHEE,Alanyazın Taraması

Current Application Fields of ELECTRE and PROMETHEE: A Literature Review

Abstract

Multi-criteria decision making techniques are widely used today. In this study, it was examined the current usage areas of ELECTRE and PROMETHEE, which are in the class of outranking-based multiple criteria decision techniques, in Turkey and the world. In this regard, the studies carried out in 2016 and the first four months of 2017 were scanned with the help of Google Scholar. Thus, it is aimed to put forward the latest state of development of ELECTRE and PROMETHEE, and to give an idea about their future application forms and fields. As a result, it was seen that application problems of ELECTRE and PROMETHEE in various fields was tried to remove, and designed appropriate methods for special cases in studies. Furthermore, evaluation according to scenario variations, solving complex decision problems with metaheuristics, common usage of hesitant fuzzy implementations, proliferation of group decision preference, increasing the number of applications of hybrid techniques, used softwares, sensitivity analyses, two linguistic approaches taking an important place in fuzzification have been identified as remarkable results.

Keywords

• Multi-Criteria Decision Making,ELECTRE,PROMETHEE,Literature Review

References

1. Abdelkader Benzohra, & Noureddine, M. (2017). Multi-criteria approach for strategic planning of reverse supply chain. Decision Science Letters, 6(2), 107-116. doi:10.5267/j.dsl.2016.11.003
2. Adalı, E. A., Işık, A. T., & Kundakcı, K. (2016). An alternative approach based on Fuzzy PROMETHEE method for the supplier selection problem. Uncertain Supply Chain Management, 4(3), 183-194. doi:10.5267/j.uscm.2016.2.002
3. Agrebi, M., Abed, M., & Omri, M. N. (2017). ELECTRE I Based Relevance Decision-Makers Feedback to the Location Selection of Distribution Centers. Journal of Advanced Transportation, 2017, 10. doi:10.1155/2017/7131094
4. Akgül, U. (2010). Sürdürülebilir Kalkınma: Uygulamalı Antropolojinin Eylem Alanı. Ankara Üniversitesi Dil ve Tarih Coğrafya Fakültesi Antropoloji Dergisi(24), 133-164.
5. Aguezzoul, A., & Pires, S. (2016). 3PL performance evaluation & selection: a MCDM method. Supply Chain Forum: An International Journal, 17(2), 87-94. doi:10.1080/16258312.2016.1176302
6. Akkaş, Ö. P., Erten, M. Y., Cam, E., & İnanç, N. (2017). Optimal Site Selection For A Solar Power Plant In The Central Anatolian Region Of Turkey. International Journal of Photoenergy, 1-17.
7. Aksaraylı, M., & Pala, O. (2016). A Hybrid Multi-Objective Optimization Approach For Portfolio Selection Problem. International Strategic Research Congress Proceedings Book.
8. Aktaş, R., Doğanay, M. M., Gökmen, Y., Gazibey, Y., & Türen, U. (2015). Sayısal Karar Verme Yöntemleri. İstanbul: Beta.

9. Albuquerque, s. H. M., & Montenegro, M. R. (2016). PROMETHEE IV through kernel density estimation. Communications in Statistics - Theory & Methods, 45(18), 5355-5362. doi:10.1080/03610926.2014.942432
10. Alkan, A., Kasımoğlu, H. Ç., Çelik, C., & Aladağ, Z. (2017). AHP ve PROMETHEE Yöntemleri ile Lastik Üreticisi Bir Firma için Tedarikçi Seçimi. Sakarya Üniversitesi Fen Bilimleri Dergisi, 21(2), 261-269. doi:10.16984/saufenbilder.284227
11. Almoghathawi, Y., Barker, K., Rocco, C. M., & Nicholson, C. D. (2017). A multi-criteria decision analysis approach for importance identification & ranking of network components. Reliability Engineering & System Safety, 158, 142-151. doi:https://doi.org/10.1016/j.ress.2016.10.007
12. An, D., Xi, B., Ren, J., Wang, Y., Jia, X., He, C., & Li, Z. (2017). Sustainability assessment of groundwater remediation technologies based on multi-criteria decision making method. Resources, Conservation & Recycling, 119, 36-46. doi:https://doi.org/10.1016/j.resconrec.2016.08.002
13. An, D., Xi, B., Wang, Y., Xu, D., Tang, J., Dong, L., . . . Pang, C. (2016). A sustainability assessment methodology for prioritizing the technologies of groundwater contamination remediation. Journal of Cleaner Production, 112, Part 5, 4647-4656. doi:https://doi.org/10.1016/j.jclepro.2015.08.020
14. Anupama, K. S. S., Gowri, S. S., & Rao, B. P. (2016). Optimal Network Selection using PROMETHEE Method. International Journal Of Innovative Research In Electrical, Electronics, Instrumentation & Control Engineering(5), 463-465. doi:10.17148/IJIREEICE.2016.45108
15. Araújo, D. C. d., Silva, s. O. d., Curi, W. F., & Cabral, J. J. d. S. P. (2017). Multicriteria analysis applied to the management of urban pluvial waters. RBRH, 22.
16. Arıkan, E., Şimşit-Kalender, Z. T., & Vayvay, Ö. (2017). Solid waste disposal methodology selection using multi-criteria decision making methods & an application in Turkey. Journal of Cleaner Production, 142, Part 1, 403-412. doi:https://doi.org/10.1016/j.jclepro.2015.10.054
17. Ariyani, N., Fauzi, A., & Beik, I. S. (2016). A policy scenario modeling of poverty alleviation program in Indonesia: An application of Promethee method. Issues in Business Management & Economics, 4(6), 54-62. doi:10.15739/IBME.16.008
18. Aşchilean, I., Badea, G., Giurca, I., Naghiu, G. S., & Iloaie, F. G. (2017). Determining Priorities Concerning Water Distribution Network Rehabilitation. Energy Procedia, 112, 27-34. doi:https://doi.org/10.1016/j.egypro.2017.03.1055
19. Attallah, S. O., K&il, A., Senouci, A., & Al-Derham, H. (2017). Multicriteria Decision-Making Methodology for Credit Selection in Building Sustainability Rating Systems. Journal of Architectural Engineering, 23(2). doi:doi:10.1061/(ASCE)AE.1943-5568.0000244
20. Bağcı, H., & Esmer, Y. (2016). PROMETHEE Yöntemi İle Faktoring Şirketi Seçimi. Beykent Üniversitesi Sosyal Bilimler Dergisi, 9(2), 116-129.
21. Bahadori, M. k., Abolghasemi, K., & Teymourzadeh, E. (2017). Performance evaluation & ranking of selective wards in a military hospital using DEA & promethee method. Journal of Military Medicine, 18(4), 325-334.
22. Bahar, O. (2006). Turizm Sektörünün Türkiye’nin Ekonomik Büyümesi Yaklaşımı, VAR Analizi. Yönetim ve Ekonomi, 13(2), 137-150.
23. Bandyopadhyay, S., & Mandal, I. (2017). Applying Fuzzy Probabilistic PROMETHEE on a Multi-Criteria Decision Problem. Sixth International Conference on Soft Computing for Problem Solving: SocProS 2016, Volume 1 (s. 353-359). Singapore: Springer.
24. Barragán, A., Arias, P., & Terrados, J. (2017). Renewable Energy Generation Technologies on Urban Scale. International Conference on Renewable Energies & Power Quality (ICREPQ’17), İspanya.
25. Baynal, K., Sarı, T., & Koçdağ, V. (2016). A Combined AHP-PROMETHEE Approach For Project Selection & A Case Study In The Turkish Textile Industry. European Journal of Business & Social Sciences, 5(1), 202-216.
26. Bedir, N., Özder, E. H., & Eren, T. (2016). Course Selection with AHP & PROMETHEE Methods for Post Graduate Students: An Application in Kirikkale University Graduate School of Natural & Applied Sciences. MATEC Web Conf., 68, 20004.
27. Behzadian, M., Kazemzadeh, R. B., Albadvi, A., & Aghdasi, M. (2010). PROMETHEE: A comprehensive literature review on methodologies & applications. European Journal of Operational Research, 200(1), 198-215. doi:https://doi.org/10.1016/j.ejor.2009.01.021
28. Bhushan, S. B., & CH, s. R. (2016). A QoS Aware Cloud Service Composition Algorithm for Geo-Distributed Multi Cloud Domain. International Journal of Intelligent Engineering & Systems, 9(4), 147-156. doi:10.22266/ijies2016.1231.16
29. Bidani, N., & Frikha, H. M. (2016, 6-8 April 2016). A hybrid multi-criteria approach to supply chain design based on mathematical programming. 2016 International Conference on Control, Decision & Information Technologies (CoDIT), Malta.
30. Bodziony, P., Kasztelewicz, Z., & Sawicki, s. (2016). The Problem of Multiple Criteria Selection of the Surface Mining Haul Trucks Archives of Mining Sciences (Vol. 61, s. 223).
31. Boujelben, M. A. (2017). A unicriterion analysis based on the PROMETHEE principles for multicriteria ordered clustering. Omega, 69, 126-140. doi:https://doi.org/10.1016/j.omega.2016.08.007
32. Brans, J.-P., & Mareschal, B. (2005). Promethee Methods Multiple Criteria Decision Analysis: State of the Art Surveys (s. 163-186). New York, NY: Springer New York.
33. Brans, J. P., & Vincke, s. H. (1985). A Preference Ranking Organization Method - (the Promethee Method for Multiple Criteria Decision-Making). Management Science, 31(6), 647-656. doi: 10.1287/mnsc.31.6.647
34. Britton, S. G. (1982). The political economy of tourism in the Third World. Annals of tourism research, 9(3), 331-358.
35. Bülbül, S. E., & Köse, A. (2016). Türk Sigorta Sektörünün Promethee Yöntemi İle Finansal Performans Analizi. Iktisadi ve Idari Bilimler Dergisi, 38(1), 187-210. doi:10.14780/iibd.29194
36. Caetani, A. P., Ferreira, L., & Borenstein, D. (2016). Development of an integrated decision-making method for an oil refinery restructuring in Brazil. Energy, 111, 197-210. doi:https://doi.org/10.1016/j.energy.2016.05.084
37. Cai, Y., Applegate, S., Yue, W., Cai, J., Wang, X., Liu, G., & Li, C. (2017). A hybrid life cycle & multi-criteria decision analysis approach for identifying sustainable development strategies of Beijing's taxi fleet. Energy Policy, 100, 314-325. doi:https://doi.org/10.1016/j.enpol.2016.09.047
38. Calders, T., & Assche, D. V. (2016). PROMETHEE is Not Quadratic: An O(qn log(n)) Algorithm. CoRR, abs/1603.00091, 1-16.
39. Campos, A. C. S. M., & Almeida, A. T. d. (2016). Multicriteria framework for selecting a process modelling language. Enterprise Information Systems, 10(1), 17-32. doi:10.1080/17517575.2014.906047
40. Cavallaro, F. (2010). A comparative assessment of thin-film photovoltaic production processes using the ELECTRE III method. Energy Policy, 38(1), 463-474. doi:https://doi.org/10.1016/j.enpol.2009.09.037
41. Certa, A., Enea, M., Galante, G. M., & La Fata, C. M. (2017). ELECTRE TRI-based approach to the failure modes classification on the basis of risk parameters: An alternative to the risk priority number. Computers & Industrial Engineering, 108, 100-110. doi:https://doi.org/10.1016/j.cie.2017.04.018
42. Chatterjee, D. (2017). DELPHI-FAHP & PROMETHEE: An Integrated Approach In Healthcare Facility Location Selection. NIDA International Business Conference 2017, Tayl&.
43. Chelmis, E., Niklis, D., Baourakis, G., & Zopounidis, C. (2017). Multiciteria evaluation of football clubs: the Greek Superleague. Operational Research, 1-30. doi:10.1007/s12351-017-0300-2
44. Chen, C. T., Cheng, H. L., & Hung, W. Z. (2016, 13-15 Aug. 2016). A two-phase decision-making method for h&ling personnel selection problem. 2016 12th International Conference on Natural Computation, Fuzzy Systems & Knowledge Discovery (ICNC-FSKD).
45. Chhipi-Shrestha, G., Hewage, K., & Sadiq, R. (2017). Selecting Sustainability Indicators for Small to Medium Sized Urban Water Systems Using Fuzzy-ELECTRE. Water Environment Research. doi:10.2175/106143016X14798353399494
46. Christian, A. V., Zhang, Y., & Salifou, C. (2016). Application of PROMETHEE-GAIA Method in the Entry Mode Selection Process in International Market Expansion. Open Journal of Business & Management, 4(2), 238-250 doi:10.4236/ojbm.2016.42025
47. Colson, G., & De Bruyn, C. (1989). Models & Methods in Multiple Criteria Decision Making (Vol. 23). Belçika: Pergamon.
48. Componation, s. J., Dorneich, M. C., & Nicholls, G. M. (2017). Team Member Perceptions of Alternative Decision Analysis Approaches. Engineering Management Journal, 29(1), 45-54. doi:10.1080/10429247.2016.1277887
49. Corrente, S., Greco, S., & Słowiński, R. (2016). Multiple Criteria Hierarchy Process for ELECTRE Tri methods. European Journal of Operational Research, 252(1), 191-203. doi:https://doi.org/10.1016/j.ejor.2015.12.053
50. Costa, A. S., Figueira, J. R., Vieira, C. R., & Vieira, I. V. (2017). An application of the ELECTRE TRI-C method to characterize government performance in OECD countries. Internatıonal Transactions In Operational Researches, 1-21. doi:10.1111/itor.12394
51. Cristea, C., & Cristea, M. (2017). A multi-criteria decision making approach for supplier selection in the flexible packaging industry. 4th International Conference on Computing & Solutions in Manufacturing Engineering 2016 - Cosme'16, 94. doi:UNSP 0600210.1051/matecconf/20179406002
52. Crnković, D. M., Antanasijević, D. Z., Pocajt, V. V., Perić-Grujić, A. A., Antonović, D., & Ristić, M. Đ. (2016). Unsupervised classification & multi-criteria decision analysis as chemometric tools for the assessment of sediment quality: A case study of the Danube & Sava River. CATENA, 144, 11-22. doi:https://doi.org/10.1016/j.catena.2016.04.025
53. Cura, T. (2008). Modern Sezgisel Teknikler ve Uygulamaları. İstanbul: Papatya Yayıncılık.
54. Çalışkan, E., & Eren, T. (2017). Bankaların Performanslarının Çok Kriterli Karar Verme Yöntemiyle Değerlendirilmesi. Ordu Üniversitesi Bilim ve Teknoloji Dergisi, 6(2), 85-107.
55. Dağ, S., & Yıldırım, B. F. (2015). PROMETHEE. In B. F. Yıldırım & E. Önder (Eds.), Operasyonel, Yönetsel ve Stratejik Problemlerin Çözümünde Çok Kriterli Karar Verme Yöntemleri. Bursa: Dora.
56. Dağdeviren, M. (2008). Decision making in equipment selection: an integrated approach with AHP & PROMETHEE. Journal of Intelligent Manufacturing, 19(4), 397-406. doi:10.1007/s10845-008-0091-7
57. Dağdeviren, M., & Eraslan, E. (2008). Priority determination in strategic energy policies in Turkey using analytic network process (ANP) with group decision making. International Journal Of Energy Research(32). doi:10.1002/er.1418
58. de Carvalho, V. D. H., Poleto, T., & Seixas, A. P. C. (2017). Information technology outsourcing relationship integration: a critical success factors study based on ranking problems (P.γ) & correlation analysis. Expert Systems, e12198-n/a. doi:10.1111/exsy.12198
59. De Smet, Y., Hubinont, J.-P., & Rosenfeld, J. (2017). A Note on the Detection of Outliers in a Binary Outranking Relation. In H. Trautmann, G. Rudolph, K. Klamroth, O. Schütze, M. Wiecek, Y. Jin, & C. Grimme (Eds.), Evolutionary Multi-Criterion Optimization: 9th International Conference, EMO 2017, Münster, Germany, March 19-22, 2017, s. 151-159. Cham: Springer International Publishing.
60. Debnath, A., Majumder, M., & Pal, M. (2016). Potential of Fuzzy-ELECTRE MCDM in Evaluation of Cyanobacterial Toxins Removal Methods. Arabian Journal for Science & Engineering, 41(10), 3931-3944. doi:10.1007/s13369-016-2032-7
61. Dey, B., Bairagi, B., Sarkar, B., & Sanyal, S. K. (2017). Group heterogeneity in multi member decision making model with an application to warehouse location selection in a supply chain. Computers & Industrial Engineering, 105, 101-122. doi:https://doi.org/10.1016/j.cie.2016.12.025
62. Diamond, J. (1977). Tourism's role in economic development: the case reexamined. Economic development & cultural change, 25(3), 539-553.
63. Dinçer, H., Hacıoğlu, Ü., & Yüksel, S. (2016). Managerial & Market-Based Appraisal of Agriculture Banking Using ANP & ELECTRE Method. Management & Organizational Studies, 3(3), 29-40. doi:10.5430/mos.v3n3p29
64. do Carvalhal Monteiro, R. L., Pereira, V., & Costa, H. G. (2017). A Multicriteria Approach to the Human Development Index Classification. Social Indicators Research, 1-22. doi:10.1007/s11205-017-1556-x
65. Doan, N. A. V., Milojevic, D., & De Smet, Y. (2017). MCDM Applied to the Partitioning Problem of 3D-Stacked Integrated Circuits. In C. Zopounidis & M. Doumpos (Eds.), Multiple Criteria Decision Making: Applications in Management & Engineering (s. 165-187). Cham: Springer International Publishing.
66. Doan, N. A. V., & Smet, Y. D. (2016, 4-7 Dec. 2016). On the use of reference profiles to compute alternative PROMETHEE II rankings: A preliminary study. 2016 IEEE International Conference on Industrial Engineering & Engineering Management (IEEM).
67. Dražić, J., Dunjić, D., & Mučenski, V. (2016). Multi-criteria analysis of variation solutions for the pipeline route by applying the PROMETHEE method. Technical gazette, 23(2), 599-610. doi:10.17559/TV-20150305124627
68. Đurin, B., & Baić, L. (2016). The Method of Selecting the Optimal Variant of Irrigation Systems Driven by PV Energy. 2016, 26(3), 19.
69. El Mokrini, A., Dafaoui, E., Berrado, A., & El Mhamedi, A. (2016). An approach to risk Assessment for Outsourcing Logistics: Case of Pharmaceutical Industry. IFAC-PapersOnLine, 49(12), 1239-1244. doi:http://dx.doi.org/10.1016/j.ifacol.2016.07.681
70. Emovon, I. (2016a). Failure Mode & Effects Analysis Of Ship Systems Using An Integrated Dempster Shafer Theory & Electre Method. Journal of Advanced Manufacturing Technology, 10(1), 45-60.
71. Emovon, I. (2016b). Inspection Interval Determination For Mechanical/Service Systems Using An Integrated Promethee Method & Delay Time Model. Journal of Mechanical Engineering & Technology, 8(1), 1-17.
72. Emovon, I., Norman, R. A., & Murphy, A. J. (2016). An integration of multi-criteria decision making techniques with a delay time model for determination of inspection intervals for marine machinery systems. Applied Ocean Research, 59, 65-82. doi:https://doi.org/10.1016/j.apor.2016.05.008
73. Eppe, S., & Smet, Y. D. (2017). On the Influence of Altering the Action Seton PROMETHEE II’s Relative Ranks. International Conference on Evolutionary Multi-Criterion Optimization 2017, Almanya.
74. Eren, Ö., & Özarı, Ç. (2016). Evaluating Ecotourism Destination Using Electre & Promethee Decision Model. International Research Journal of Natural & Applied Sciences, 3(7), 246-260.
75. Eren, T., & Özder, E. H. (2016). Çok Ölçütlü Karar Verme Yöntemleri İle Bir İçecek Firması İçin Tedarikçi Seçimi. 4th International Symposium on Innovative Technologies in Engineering & Science, Alanya.
76. Ertuğrul, İ., & Öztaş, G. Z. (2016). Performance Analysis Of Online Bookstores By Using MACBETH & PROMETHEE Methods. IUYD, 7(2), 21-38. doi:doi:10.5505/iuyd.2016.83997
77. Fahmi, A., Kahraman, C., & Bilen, Ü. (2016). ELECTRE I Method Using Hesitant Linguistic Term Sets: An Application to Supplier Selection. International Journal of Computational Intelligence Systems, 9(1), 153-167. doi:10.1080/18756891.2016.1146532
78. Farughi, H., & Mostafayi, S. (2017). A hybrid approach based on ANP, ELECTRE & SIMANP metaheuristic method for outsourcing manufacturing procedures according to supply chain risks - Case study: A medical equipment manufacturer company in Iran. Decision Science Letters, 6(1), 77-94. doi:10.5267/j.dsl.2016.6.003
79. Feng, X., Tan, Q., & Wei, C. (2017). Hesitant fuzzy linguistic multi-criteria decision making based on possibility theory. International Journal of Machine Learning & Cybernetics, 1-13. doi:10.1007/s13042-017-0659-7
80. Ferreira, L., Borenstein, D., & Santi, E. (2016). Hybrid fuzzy MADM ranking procedure for better alternative discrimination. Engineering Applications of Artificial Intelligence, 50, 71-82. doi:https://doi.org/10.1016/j.engappai.2015.12.012
81. Figueira, J., Mousseau, V., & Roy, B. (2005). Electre Methods Multiple Criteria Decision Analysis: State of the Art Surveys (s. 133-153). New York, NY: Springer New York.
82. Gomes, S. d. F., Monte, M. B. d. S., & Morais, D. C. (2016, 9-12 Oct. 2016). Multicriteria Decision Model for prioritization of alternatives on water scarcity situations. 2016 IEEE International Conference on Systems, Man & Cybernetics (SMC).
83. Govindan, K., & Jepsen, M. B. (2016). Supplier risk assessment based on trapezoidal intuitionistic fuzzy numbers & ELECTRE TRI-C: a case illustration involving service suppliers. Journal of the Operational Research Society, 67(2), 339-376. doi:10.1057/jors.2015.51
84. Göleç, A., Gürbüz, F., & Şenyiğit, E. (2017). Determination Of Best Military Cargo Aırcraft With Multı-Criteria Decision-Making Techniques. MANAS Journal of Social Studies (MJSR), 6(2), 87-101.
85. Graham, L. J., Haines-Young, R. H., & Field, R. (2017). Metapopulation modelling of long-term urban habitat-loss scenarios. L&scape Ecology, 32(5), 989-1003. doi:10.1007/s10980-017-0504-0
86. Guo, H. (2017). Multicriteria Decision Analysis of Health Insurance for Foreigners in the Czech Republic. In J. Gottvald & P. Praus (Eds.), 2nd Czech-China Scientific Conference 2016. Rijeka: InTech.
87. Hacıoğlu, H. I. b., Arı, A., Özkan, A., Elbir, T., Tuncel, G. r., Yay, O. D., & Gaga, E. O. (2016). A New Approach for Site Selection of Air Quality Monitoring Stations: Multi-Criteria Decision-Making. Aerosol & Air Quality Research, 16(6), 1390-1402. doi:10.4209/aaqr.2014.11.0273
88. Hashemi, S. S., Hajiagha, S. H. R., Zavadskas, E. K., & Mahdiraji, H. A. (2016). Multicriteria group decision making with ELECTRE III method based on interval-valued intuitionistic fuzzy information. Applied Mathematical Modelling, 40(2), 1554-1564. doi:https://doi.org/10.1016/j.apm.2015.08.011
89. Heilmann, A., & Reinhold, S. (2017). Evaluation of a Transdisciplinary Research Project for a Sustainable Development. In W. Leal Filho, C. Skanavis, A. do Paço, J. Rogers, O. Kuznetsova, & P. Castro (Eds.), H&book of Theory & Practice of Sustainable Development in Higher Education: Volume 2 (s. 201-214). Cham: Springer International Publishing.
90. Helder Gomes, C. (2016). Graphical interpretation of outranking principles: Avoiding misinterpretation results from ELECTRE I. Journal of Modelling in Management, 11(1), 26-42. doi:10.1108/JM2-08-2013-0037
91. Heravi, G., Fathi, M., & Faeghi, S. (2017). Multi-criteria group decision-making method for optimal selection of sustainable industrial building options focused on petrochemical projects. Journal of Cleaner Production, 142, Part 4, 2999-3013. doi:https://doi.org/10.1016/j.jclepro.2016.10.168
92. Hern&ez-Perdomo, E. A., Mun, J., & Rocco S, C. M. (2017). Active management in state-owned energy companies: Integrating a real options approach into multicriteria analysis to make companies sustainable. Applied Energy, 195, 487-502. doi:https://doi.org/10.1016/j.apenergy.2017.03.068
93. Ho, H. N., Rabah, M., Nowakowski, S., & Estraillier, s. (2016). Toward a Trace-Based PROMETHEE II Method to answer " What can teachers do? " in Online Distance Learning Applications. 13th International Conference on Intelligent Tutoring Systems, Zagreb, Croatia. https://hal.archives-ouvertes.fr/hal-01334151
94. Hodgett, R. E. (2016). Comparison of multi-criteria decision-making methods for equipment selection. The International Journal of Advanced Manufacturing Technology, 85(5), 1145-1157. doi:10.1007/s00170-015-7993-2
95. Hot, I., Lukić, D., & Pantić, M. (2016). Application of multicriteria optimization methods in the design of road embankments. Technical gazette, 23(6), 1665-1672. doi:10.17559/TV-20150325202514
96. Ishizaka, A., & Nemery, s. (2013). Multi-criteria Decision Analysis: Methods & Software. New Delhi: Wiley.
97. Ishizaka, A., & Pereira, V. E. (2016). Portraying an employee performance management system based on multi-criteria decision analysis & visual techniques. International Journal of Manpower, 37(4), 628-659. doi:doi:10.1108/IJM-07-2014-0149
98. Kadziński, M., & Ciomek, K. (2016). Integrated framework for preference modeling & robustness analysis for outranking-based multiple criteria sorting with ELECTRE & PROMETHEE. Information Sciences, 352–353, 167-187. doi:https://doi.org/10.1016/j.ins.2016.02.059
99. Kavilal, E. G., Prasanna Venkatesan, S., & Harsh Kumar, K. D. (2017). An integrated fuzzy approach for prioritizing supply chain complexity drivers of an Indian mining equipment manufacturer. Resources Policy, 51, 204-218. doi:https://doi.org/10.1016/j.resourpol.2016.12.008
100. Kecek, G., & Yüksel, R. (2016). Analitik Hiyerarşi Süreci (AHP) ve PROMETHEE Teknikleriyle Akıllı Telefon Seçimi. Dumlupınar Üniversitesi Sosyal Bilimler Dergisi(49), 46-62.
101. Kelidbari, H. R. R., Homayounfar, M., & Foumani, S. F. A. (2016). A Combined Group EA-PROMETHEE Method for a Supplier Selection Problem. Iranian Journal of Optimization, 8(2), 87-100.
102. Khandan, M., & Koohpaei, A. (2016). Ergonomics Risk Management in a Manufacturing Company Using ELECTRE. Health Scope, 5(4), e34901. doi:10.17795/jhealthscope-34901
103. Khorasaninejad, E., Fetanat, A., & Hajabdollahi, H. (2016). Prime mover selection in thermal power plant integrated with organic Rankine cycle for waste heat recovery using a novel multi criteria decision making approach. Applied Thermal Engineering, 102, 1262-1279. doi:https://doi.org/10.1016/j.applthermaleng.2016.04.058
104. Kirkenidis, I. V., Andreopoulou, Z. S., & Manos, B. (2016). Evaluation of e-learning platforms suitable for Agriculture & Forestry Higher Schools: A case study using ELECTRE III. IOSR Journal of Research & Method in Education (IOSR-JRME), 6(3), 74-80. doi:10.9790/7388-06030207480
105. Kita, P., Furková, A., Reiff, M., Konštiak, P., & Sitášová, S. (2017). Impact of Consumer Preferences on Food Chain Choice: An empirical study of consumers in Bratislava. Acta Universitatis Agriculturae Et Silviculturae Mendelianae Brunensis, 65(1), 293-298. doi:10.11118/actaun201765010293
106. Koliouska, C., Andreopoulou, Z., Zopounidis, C., & Lemonakis, C. (2017). E-commerce in the Context of Protected Areas Development: A Managerial Perspective Under a Multi-Criteria Approach. In C. Zopounidis & M. Doumpos (Eds.), Multiple Criteria Decision Making: Applications in Management & Engineering (s. 99-111). Cham: Springer International Publishing.
107. Kumar, V., Hewage, K., Haider, H., & Sadiq, R. (2017). Sustainability evaluation framework for building cooling systems: a comparative study of snow storage & conventional chiller systems. Clean Technologies & Environmental Policy, 19(1), 137-155. doi:10.1007/s10098-016-1198-8
108. Kütükçü, Z. A., & Eren, T. (2017). Acil Durum Haberleşmesinde Kullanılan El Telsizinin Çok Ölçütlü Karar Verme Yöntemleri İle Seçilmesi. Selçuk Üniversitesi Mühendislik Fakültesi Dergisi, 5(2), 183-203. doi:10.15317/Scitech.2017.81
109. Kylili, A., Christoforou, E., Fokaides, P. A., & Polycarpou, P. (2016). Multicriteria analysis for the selection of the most appropriate energy crops: the case of Cyprus. International Journal of Sustainable Energy, 35(1), 47-58. doi:10.1080/14786451.2014.898640
110. Leoneti, A. B. (2016). Considerations Regarding The Choice Of Ranking Multiple Criteria Decision Making Methods. Pesquisa Operacional, 36, 259-277.
111. Leyva López, J. C., Álvarez Carrillo, s. A., Gastélum Chavira, D. A., & Solano Noriega, J. J. (2016). A web-based group decision support system for multicriteria ranking problems. Operational Research, 1-36. doi:10.1007/s12351-016-0234-0
112. Lian, J.-W., & Ke, C.-K. (2016). Using a modified ELECTRE method for an agricultural product recommendation service on a mobile device. Computers & Electrical Engineering, 56, 277-288. doi:https://doi.org/10.1016/j.compeleceng.2015.11.014
113. Liao, B., Wang, L., & Liu, X. (2016). Possibility-Based Outranking Comparison for PROMETHEE II with Uncertain Linguistic Fuzzy Variables. In B.-Y. Cao, P.-Z. Wang, Z.-L. Liu, & Y.-B. Zhong (Eds.), International Conference on Oriental Thinking & Fuzzy Logic: Celebration of the 50th Anniversary in the era of Complex Systems & Big Data (s. 65-75). Cham: Springer International Publishing.
114. Liu, H.-C., You, J.-X., Chen, S., & Chen, Y.-Z. (2016). An integrated failure mode & effect analysis approach for accurate risk assessment under uncertainty. IIE Transactions, 48(11), 1027-1042. doi:10.1080/0740817X.2016.1172742
115. Liu, Y., Fan, Z.-P., & Zhang, X. (2016). A method for large group decision-making based on evaluation information provided by participators from multiple groups. Information Fusion, 29, 132-141. doi:https://doi.org/10.1016/j.inffus.2015.08.002
116. Lolli, F., Ishizaka, A., Gamberini, R., Rimini, B., Ferrari, A. M., Marinelli, S., & Savazza, R. (2016). Waste treatment: an environmental, economic & social analysis with a new group fuzzy PROMETHEE approach. Clean Technologies & Environmental Policy(5), 1317–1332. doi:10.1007/s10098-015-1087-6
117. Lopez, J. C. L., Noriega, J. J. S., & Chavira, D. A. G. (2017). A Multi-Criteria Approach to Rank the Municipalities of the States of Mexico by its Marginalization Level: The Case of Jalisco. International Journal of Information Technology & Decision Making, 16(02), 473-513. doi:10.1142/s0219622017500080
118. Ma, Y., Liu, A., Egodawatta, P., McGree, J., & Goonetilleke, A. (2017). Assessment & management of human health risk from toxic metals & polycyclic aromatic hydrocarbons in urban stormwater arising from anthropogenic activities & traffic congestion. Science of The Total Environment, 579, 202-211. doi:https://doi.org/10.1016/j.scitotenv.2016.11.015
119. Mahmoudi, A., Sadi-Nezhad, S., & Makui, A. (2016). A Hybrid Fuzzy-Intelligent System for Group Multi-Attribute Decision Making. International Journal of Fuzzy Systems, 18(6), 1117-1130. doi:10.1007/s40815-016-0173-1
120. Mahmoudi, A., Sadi-Nezhad, S., Makui, A., & Vakili, M. R. (2016). An extension on PROMETHEE based on the typical hesitant fuzzy sets to solve multi-attribute decision-making problem. Kybernetes, 45(8), 1213-1231. doi:doi:10.1108/K-10-2015-0271
121. Markou, C., Koulinas, G. K., & Vavatsikos, A. P. (2017). Project resources scheduling & leveling using Multi-Attribute Decision Models: Models implementation & case study. Expert Systems with Applications, 77, 160-169. doi:https://doi.org/10.1016/j.eswa.2017.01.035
122. Matulaitis, V., Straukaitė, G., Azzopardi, B., & Martinez-Cesena, E. A. (2016). Multi-criteria decision making for PV deployment on a multinational level. Solar Energy Materials & Solar Cells, 156, 122-127. doi:https://doi.org/10.1016/j.solmat.2016.02.015
123. Medina-González, S., Graells, M., Guillén-Gosálbez, G., Espuña, A., & Puigjaner, L. (2017). Systematic approach for the design of sustainable supply chains under quality uncertainty. Energy Conversion & Management. doi:https://doi.org/10.1016/j.enconman.2017.02.060
124. Meyer, P., & Olteanu, A.-L. (2017). Integrating large positive & negative performance differences into multicriteria majority-rule sorting models. Computers & Operations Research, 81, 216-230. doi:https://doi.org/10.1016/j.cor.2016.11.007
125. Michailidou, A. V., Vlachokostas, C., & Moussiopoulos, Ν. (2016). Interactions between climate change & the tourism sector: Multiple-criteria decision analysis to assess mitigation & adaptation options in tourism areas. Tourism Management, 55, 1-12. doi:https://doi.org/10.1016/j.tourman.2016.01.010
126. Mladen, S., Ivan, A., Marijana, P., & Nataša, B. (2016). An ELECTRE approach for evaluating secondary education profiles: evidence from PISA survey in Serbia. Annals of Operations Research, 245(1-2), 337-358.
127. Mladineo, M., Jajac, N., & Rogulj, K. (2016). A simplified approach to the PROMETHEE method for priority setting in management of mine action projects. Croatian Operational Research Review, 7(2), 249-268. doi:10.17535/crorr.2016.0017
128. Mousavi, M., Gitinavard, H., & Mousavi, S. M. (2017). A soft computing based-modified ELECTRE model for renewable energy policy selection with unknown information. Renewable & Sustainable Energy Reviews, 68, Part 1, 774-787. doi:https://doi.org/10.1016/j.rser.2016.09.125
129. Mousseau, V., Slowinski, R., & Zielniewicz, P. (2000). A user-oriented implementation of the ELECTRE-TRI method integrating preference elicitation support. Computers & operations research, 27(7), 757-777.
130. Murgante, B., Salmani, M., Qelichi, M. M., & Hajiloo, M. (2017). The Assessment of Sustainability Indicators in the Villagers’ Lives in Iran with Emphasis on Natural Hazards: A Case Study. Preprints, 1-18. doi:10.20944/preprints201703.0154.v1
131. Nabiyev, V. V. (2012). Yapay Zeka (4.baskı). Ankara: Seçkin Yayıncılık.
132. Naubi, I., Zardari, N. H., Shirazi, S. M., Roslan, N. A., Yusop, Z., & Haniffah, M. R. B. M. (2017). Ranking of Skudai river sub-watersheds from sustainability indices-Application of promethee method. International Journal of GEOMATE, 12(29), 124-131. doi:10.21660/2017.29.24734
133. Nawir, S., M&a, R., Rahman, T., & Fatmah, A. U. (2017). Implementation of ELECTRE Method in Determining the Priority of a Sustainable Tourist Attraction Development in Gorontalo Regency. IOP Conference Series: Materials Science & Engineering, 180(1), 012067.
134. Nikouei, M. A., Oroujzadeh, M., & Mehdipour-Ataei, S. (2017). The PROMETHEE multiple criteria decision making analysis for selecting the best membrane prepared from sulfonated poly(ether ketone)s & poly(ether sulfone)s for proton exchange membrane fuel cell. Energy, 119, 77-85. doi:https://doi.org/10.1016/j.energy.2016.12.052
135. Oliveira, E. C. B. d., Alencar, L. H., & Costa, A. P. C. S. (2016). A decision model for energy companies that sorts projects, classifies the project manager & recommends the final match between project & project manager. Production, 26, 91-104.
136. Orłowski, A., Marć, M., Namieśnik, J., & Tobiszewski, M. (2017). Assessment & Optimization of Air Monitoring Network for Smart Cities with Multicriteria Decision Analysis. In N. T. Nguyen, S. Tojo, L. M. Nguyen, & B. Trawiński (Eds.), Intelligent Information & Database Systems: 9th Asian Conference, ACIIDS 2017, Kanazawa, Japan, April 3–5, 2017, Part II (s. 531-538). Cham: Springer International Publishing.
137. Osati, M., & Manouchehr, M. (2016). Performance measurement of electricity suppliers using PROMETHEE & balance scorecard. Management Science Letters, 387-394. doi:10.5267/j.msl.2016.4.007
138. Ozmen, M., Aydogan, E. K., Ates, N., & Uzal, N. (2016). Developing a Decision-Support System for Waste Management in Aluminum Production. Environmental Modeling & Assessment, 21(6), 803-817. doi:10.1007/s10666-016-9510-x
139. Ömürbek, N., & Eren, H. (2016). Promethee, Moora Ve Copras Yöntemleri İle Oran Analizi Sonuçlarının Değerlendirilmesi: Bir Uygulama Mehmet Akif Ersoy Üniversitesi Sosyal Bilimler Enstitüsü Dergisi 8(16), 174-187. doi:10.20875/sb.69615
140. Özkale, C., Celik, C., Turkmen, A. C., & Cakmaz, E. S. (2017). Decision analysis application intended for selection of a power plant running on renewable energy sources. Renewable & Sustainable Energy Reviews, 70, 1011-1021. doi:https://doi.org/10.1016/j.rser.2016.12.006
141. Özveri, O., & Kabak, M. (2016). Çok Kriterli Karar Verme Tekniklerinin Hata Modu ve Etkileri Analizinde Kullanımı. Muğla Sıtkı Koçman Üniversitesi İktisadi ve İdari Bilimler Fakültesi Ekonomi ve Yönetim Araştırmaları Dergisi, 2, 1-15.
142. Palash Md, S., & Bauer, S. (2016). L&-use decisions of rice/fish farming in Northern Bangladesh: use of PROMETHEE analysis Open Agriculture (Vol. 1).
143. Papadopoulos, A., & Karagiannidis, A. (2008). Application of the multi-criteria analysis method Electre III for the optimisation of decentralised energy systems. Omega, 36(5), 766-776. doi:https://doi.org/10.1016/j.omega.2006.01.004
144. Peker, İ. (2016). An Application Related to Logistics Social Responsibility Evaluation with DEMATEL & ELECTRE Methods. 2016, 3(1S), 11. doi:10.1453/jeb.v3i1S.781
145. Peng, J.-j., Wang, J.-q., & Wu, X.-h. (2016). An extension of the ELECTRE approach with multi-valued neutrosophic information. Neural Computing & Applications, 1-12. doi:10.1007/s00521-016-2411-8
146. Pereira, D. V. e. S., & Mota, C. M. d. M. (2016). Human Development Index Based on ELECTRE TRI-C Multicriteria Method: An Application in the City of Recife. Social Indicators Research, 125(1), 19-45. doi:10.1007/s11205-014-0836-y
147. Pinto, F. S., Costa, A. S., Figueira, J. R., & Marques, R. C. (2017). The quality of service: An overall performance assessment for water utilities. Omega, 69, 115-125. doi:https://doi.org/10.1016/j.omega.2016.08.006
148. Polat, G. (2016). Subcontractor selection using the integration of the AHP & PROMETHEE methods. Journal of Civil Engineering & Management, 22(8), 1042-1054. doi:10.3846/13923730.2014.948910
149. Polatidis, H., & Morales, J. B. (2016). Increasing the applicability of wind power projects via a multi-criteria approach: methodology & case study. International Journal of Sustainable Energy, 35(10), 1014-1029. doi:10.1080/14786451.2014.975130
150. Prasanna Venkatesan, S., & Goh, M. (2016). Multi-objective supplier selection & order allocation under disruption risk. Transportation Research Part E: Logistics & Transportation Review, 95, 124-142. doi:https://doi.org/10.1016/j.tre.2016.09.005
151. Purba, R. A., & Sembiring, J. (2016, 5-6 Aug. 2016). Selection of scholarship recipients by using Promethee method in Polytechnic Unggul LP3M Medan. 2016 International Seminar on Application for Technology of Information & Communication (ISemantic).
152. Rakotoarivelo, J. B., Zaraté, P., Kilgour, M., & Velo, J. (2016). Risk analysis for bank investments using PROMETHEE. 2nd International Conference on Decision Support Systems Technology (ICDSST 2016), İngiltere.
153. Ranjan, R., Chatterjee, P., & Chakraborty, S. (2016). Performance evaluation of Indian states in tourism using an integrated PROMETHEE-GAIA approach. OPSEARCH, 53(1), 63-84. doi:10.1007/s12597-015-0225-6
154. Rashid, T., Faizi, S., Xu, Z., & Zafar, S. (2017). ELECTRE-Based Outranking Method for Multi-criteria Decision Making Using Hesitant Intuitionistic Fuzzy Linguistic Term Sets. International Journal of Fuzzy Systems, 1-15. doi:10.1007/s40815-017-0297-y
155. Rebelo, J. F., Leal, C. T., & Teıxeıra, A. (2017). Management & financial performance of Agricultural cooperatives: a case of portuguese Olive oil cooperatives. Revista de Estudios Cooperativos(123), 225-249. doi:10.5209/REVE.53243
156. Redondo Pena, R., Prieto Rebollo, L., Gibert, K., & Valls, A. (2007). Use & evaluation of Electre III/IV. [Tarragona]: Universitat Rovira i Virgili.
157. Rezaei, J., Kadziński, M., Vana, C., & Tavasszy, L. (2017). Embedding carbon impact assessment in multi-criteria supplier segmentation using ELECTRE TRI-rC. Annals of Operations Research, 1-23. doi:10.1007/s10479-017-2454-y
158. Riz, G., Santos, E. A. P., & de Freitas Rocha Loures, E. (2017). Interoperability Assessment in Health Systems Based on Process Mining & MCDA Methods. In Á. Rocha, A. M. Correia, H. Adeli, L. P. Reis, & S. Costanzo (Eds.), Recent Advances in Information Systems & Technologies: Volume 1 (s. 436-445). Cham: Springer International Publishing.
159. Rosić, M., Pešić, D., Kukić, D., Antić, B., & Božović, M. (2017). Method for selection of optimal road safety composite index with examples from DEA & TOPSIS method. Accident Analysis & Prevention, 98, 277-286. doi:https://doi.org/10.1016/j.aap.2016.10.007
160. Rožić, T., Ogrizović, D., & Galić, M. (2016). Decision making background for the location of inl& terminals. Scientific Journal of Maritime Research, 30(2), 141-150.
161. Roy, B., and P. Bertier. (1973). La methode ELECTRE II—Une application au media planning. In OR’72, ed. M. Ross, 291–302. Amsterdam: North-Holland Publishing Company.
162. Ruiz-Padillo, A., Ruiz, D. P., Torija, A. J., & Ramos-Ridao, Á. (2016). Selection of suitable alternatives to reduce the environmental impact of road traffic noise using a fuzzy multi-criteria decision model. Environmental Impact Assessment Review, 61, 8-18. doi:https://doi.org/10.1016/j.eiar.2016.06.003
163. S, V. V., Shah, V. A., & Lokh&e, M. M. (2016, 17-20 Oct. 2016). Advanced Material Selection for Semiconductor Switching Devices in Electric Vehicles Using PROMETHEE Method. 2016 IEEE Vehicle Power & Propulsion Conference (VPPC).
164. Sabri, K. (2016). Multiple Criteria Performance Analysis: The Comparison Of Telecommunications Sectors In North Africa. 18th International Scientific Conference on Economic & Social, Hırvatistan.
165. Sadeghravesh, M. H., Khosravi, H., Abolhasani, A., & Shekoohizadeghan, S. (2016). Evaluation of Combating Desertification Alternatives Using Promethee Model. 2016, 8(2). doi:10.5539/jgg.v8n2p1
166. Sadr, S. M. K., Mashamaite, I., Saroj, D., Ouki, S., & Ilemobade, A. (2016). Membrane assisted technology appraisal for water reuse applications in South Africa. Urban Water Journal, 13(5), 536-552. doi:10.1080/1573062X.2014.994008
167. Salehpour Jam, A., Tabatabaei, M., & Sarreshtehdari, A. (2017). Pedological Criterion Affecting Desertification in Alluvial Fans Using AHP-ELECTRE I Technique (Case Study: Southeast of Rude-Shoor Watershed Area). ECOPERSIA, 5(1), 1711-1730.
168. Sánchez-Lozano, J. M., García-Cascales, M. S., & Lamata, M. T. (2016). Comparative TOPSIS-ELECTRE TRI methods for optimal sites for photovoltaic solar farms. Case study in Spain. Journal of Cleaner Production, 127, 387-398. doi:https://doi.org/10.1016/j.jclepro.2016.04.005
169. Sangaiah, A. K., Gopal, J., Basu, A., & Subramaniam, s. R. (2017). An integrated fuzzy DEMATEL, TOPSIS & ELECTRE approach for evaluating knowledge transfer effectiveness with reference to GSD project outcome. Neural Computing & Applications, 28(1), 111-123. doi:10.1007/s00521-015-2040-7
170. Sari, T., & Timor, M. (2016). INTEGRATED SUPPLIER SELECTION MODEL USING ANP, TAGUCHI LOSS FUNCTION & PROMETHEE METHODS. Journal of Applied Quantitative Methods, 11(1), 19-34.
171. Schmid, A., Batton-Hubert, M., Naquin, P., & Gourdon, R. (2016). Multi-Criteria Evaluation of End-of-Life Vehicles’ Dismantling Scenarios with Respect to Technical Performance & Sustainability Issues. Resources, 5(4), 42.
172. Seddiki, M., Anouche, K., & Bennadji, A. (2016). An integrated Delphi-FAHP-PROMETHEE for the thermal renovation of masonry buildings in Algeria, Portekiz.
173. Seddiki, M., Anouche, K., Bennadji, A., & Boateng, s. (2016). A multi-criteria group decision-making method for the thermal renovation of masonry buildings: The case of Algeria. Energy & Buildings, 129, 471-483. doi:https://doi.org/10.1016/j.enbuild.2016.08.023
174. Segura, M., & Maroto, C. (2017). A multiple criteria supplier segmentation using outranking & value function methods. Expert Systems with Applications, 69, 87-100. doi:https://doi.org/10.1016/j.eswa.2016.10.031
175. Sehatpour, M.-H., Kazemi, A., & Sehatpour, H.-e. (2017). Evaluation of alternative fuels for light-duty vehicles in Iran using a multi-criteria approach. Renewable & Sustainable Energy Reviews, 72, 295-310. doi:https://doi.org/10.1016/j.rser.2017.01.067
176. Sendhilvel, L., Joshi, A., Sharma, A., & Rangarh, U. (2016). A Preference Ranking of possible locations for the construction of Hydroelectric Power Plants in India. International Journal of Advanced Research in Computer Science, 7(7), 42-46.
177. Shahmohammadi, M., & Khanaposhtani, G. F. (2016). A Study of the Factors Affecting the Development of the Portfolio of Products of the Iranian Top Pharmaceutical Companies Using Promethee Method (Vol. 7).
178. Shanian, A., & Savadogo, O. (2009). A methodological concept for material selection of highly sensitive components based on multiple criteria decision analysis. Expert Systems with Applications, 36(2, Part 1), 1362-1370. doi:https://doi.org/10.1016/j.eswa.2007.11.052
179. Shen, F., Lan, D., & Li, Z. (2017). An Intuitionistic Fuzzy ELECTRE-III Method for Credit Risk Assessment. In J. Xu, A. Hajiyev, S. Nickel, & M. Gen (Eds.), Tenth International Conference on Management Science & Engineering Management (s. 289-296). Singapore: Springer Singapore.
180. Shmelev, S. (2017). Multidimensional Sustainability Assessment for Megacities. In S. Shmelev (Ed.), Green Economy Reader: Lectures in Ecological Economics & Sustainability (s. 205-236). Cham: Springer International Publishing.
181. Shukla, S., & Mishra, s. K. (2016). Unification Of Erp System Selection Factors: An Integrated Decision Making Approach. ELK Asia Pacific Journals(Özel Sayı), 1-5. Sibevei, A., Naji Azimi, Z., Ahmadjo, S., & Mortazavi, M. M. (2016). An Integrated AHP-PROMETHEE Method for Selecting the most Suitable Ethylene Propylene Diene Termonomer. Journal of Petroleum Science & Technology, 6(1), 53-62. doi:10.22078/jpst.2016.568
182. Sidhu, J., & Singh, S. (2017). Design & Comparative Analysis of MCDM-based Multi-dimensional Trust Evaluation Schemes for Determining Trustworthiness of Cloud Service Providers. Journal of Grid Computing, 1-22. doi:10.1007/s10723-017-9396-0
183. Silas, S., & Rajsingh, E. B. (2016). Performance analysis on algorithms for selection of desired healthcare services. Perspectives in Science, 8, 107-109. doi:https://doi.org/10.1016/j.pisc.2016.04.009
184. Silva, L. G. d. O., & de Almeida-Filho, A. T. (2016). A multicriteria approach for analysis of conflicts in evidence theory. Information Sciences, 346–347, 275-285. doi:https://doi.org/10.1016/j.ins.2016.01.080
185. Sinaga, T. S., & Siregar, K. (2017). Supplier Selection based on the Performance by using PROMETHEE Method. IOP Conference Series: Materials Science & Engineering, 180(1), 012118.
186. Singh, A., Gupta, A., & Mehra, A. (2016). Energy planning problems with interval-valued 2-tuple linguistic information. Operational Research, 1-28. doi:10.1007/s12351-016-0245-x
187. Singh, S., & Dasgupta, M. S. (2016). Evaluation of research on CO2 trans-critical work recovery exp&er using multi attribute decision making methods. Renewable & Sustainable Energy Reviews, 59, 119-129. doi:https://doi.org/10.1016/j.rser.2016.01.013
188. Sinha, S. K., Gupta, A., & Bharalee, R. (2016). Production of biodiesel from freshwater microalgae & evaluation of fuel properties based on fatty acid methyl ester profile. Biofuels, 7(1), 69-78. doi:10.1080/17597269.2015.1118781
189. Smet, Y. D. (2016, 4-7 Dec. 2016). About the computation of robust PROMETHEE II rankings: Empirical evidence. 2016 IEEE International Conference on Industrial Engineering & Engineering Management (IEEM).
190. Sobrie, O., Mousseau, V., & Pirlot, M. (2017). A Population-Based Algorithm for Learning a Majority Rule Sorting Model with Coalitional Veto. In H. Trautmann, G. Rudolph, K. Klamroth, O. Schütze, M. Wiecek, Y. Jin, & C. Grimme (Eds.), Evolutionary Multi-Criterion Optimization: 9th International Conference, EMO 2017, Münster, Germany, March 19-22, 2017, s. 575-589. Cham: Springer International Publishing.
191. Sousa, N., Coutinho-Rodrigues, J., Eng, C., & Natividade-Jesus, E. (2016). Sidewalk Infrastructure Assessment Using a Multicriteria Methodology for Maintenance Planning. Journal of Infrastructure Systems, 23(4). doi:10.1061/(ASCE)IS.1943-555X.0000362
192. Stamatakis, A., M&alaki, M., & Tsoutsos, T. (2016). Multi-criteria analysis for PV integrated in shading devices for Mediterranean region. Energy & Buildings, 117, 128-137. doi:https://doi.org/10.1016/j.enbuild.2016.02.007
193. Stavrou, D. I., Ventikos, N. P., & Siskos, Y. (2017). Locating Ship-to-Ship (STS) Transfer Operations via Multi-Criteria Decision Analysis (MCDA): A Case Study. In C. Zopounidis & M. Doumpos (Eds.), Multiple Criteria Decision Making: Applications in Management & Engineering (s. 137-163). Cham: Springer International Publishing.
194. Stoilova, S., & Nikolova, R. (2016, 3-5 March 2016). Study of the scheme for transportation of intercity trains in the conditions of stochastic variation of passenger flows. 2016 International Conference on Electrical, Electronics & Optimization Techniques (ICEEOT).
195. Strantzali, E., Aravossis, K., & Livanos, G. A. (2017). Evaluation of future sustainable electricity generation alternatives: The case of a Greek isl&. Renewable & Sustainable Energy Reviews, 76, 775-787. doi:https://doi.org/10.1016/j.rser.2017.03.085
196. Sungur, O., & Maden, S. I. (2016). TR61 Bolgesi (Antalya, Isparta, Burdur) Imalat Sanayi Sektorlerinin PROMETHEE Yontemi ile Siralanmasi. Ege Academic Review, 16(4), 641-654.
197. Supraja, S., & Kousalya, s. (2016). ELECTRE Method for the Selection of Best Computer System.
198. Tadeu, S. F., Rodrigues, C., Tadeu, A., & Gonçalves, M. P. F. (2016). Multicriteria analysis of occupants perceptions’ of the benefits of energy retrofitting of buildings. International Journal for Housing Science & Its Applications(40), 1-10.
199. Taşkın, Ç., & Emel, G. G. (2009). İşletme Lojistiği. Bursa: Alfa Aktüel.
200. Tavra, M., Jajac, N., & Cetl, V. (2017). Marine Spatial Data Infrastructure Development Framework: Croatia Case Study. ISPRS International Journal of Geo-Information, 6(4), 117.
201. Torra, V. (2010). Hesitant fuzzy sets. International Journal of Intelligent Systems, 25(6), 529-539.
202. Triantaphyllou, E., Shu, B., Sanchez, S. N., & Ray, T. (1998). Multi-criteria decision making: an operations research approach. Encyclopedia of electrical & electronics engineering, 15(1998), 175-186.
203. Tscheikner-Gratl, F., Egger, P., Rauch, W., & Kleidorfer, M. (2017). Comparison of Multi-Criteria Decision Support Methods for Integrated Rehabilitation Prioritization. Water, 9(2), 68.
204. Tzeng, G.-H., & Huang, J.-J. (2011). Multiple attribute decision making : methods & applications. Boca Raton, FL: CRC Press.
205. Ulubeyli, S., & Manisalı, E. (2005, 29 Eylül 2005). İnşaat Makineleri Alımında Çok Ölçütlü Karar Verme Modeli. Yapı İşletmesi Kongresi.
206. Ureten, S. (2006). Uretim / islemler yönetimi : Stratejik kararlar ve karar modelleri. Ankara: Gazi Kitabevi.
207. Vasto-Terrientes, L. D., Valls, A., Zielniewicz, P., & Borràs, J. (2016). A hierarchical multi-criteria sorting approach for recommender systems. Journal of Intelligent Information Systems, 46(2), 313-346. doi:10.1007/s10844-015-0362-7
208. Vujosevic, M. L., & Popovic, M. J. (2016). The Comparison of The Energy Performance Of Hotel Buildings Using PROMETHEE Decision-Making Method. Thermal Science, 20(1), 197-208.
209. Vulević, T., & Dragović, N. (2017). Multi-criteria decision analysis for sub-watersheds ranking via the PROMETHEE method. International Soil & Water Conservation Research, 5(1), 50-55. doi:https://doi.org/10.1016/j.iswcr.2017.01.003
210. Wagner, M. (2017). A Research Proposal on the Parametric City Governance. In A. Bisello, D. Vettorato, R. Stephens, & P. Elisei (Eds.), Smart & Sustainable Planning for Cities & Regions: Results of SSPCR 2015 (s. 205-219). Cham: Springer International Publishing.
211. Wan, S.-p., Xu, G.-l., & Dong, J.-y. (2017). Supplier selection using ANP & ELECTRE II in interval 2-tuple linguistic environment. Information Sciences, 385–386, 19-38. doi:https://doi.org/10.1016/j.ins.2016.12.032
212. Wang, G. X., Huang, S. H., Yan, Y., & Du, J. J. (2017). Reconfiguration schemes evaluation based on preference ranking of key characteristics of reconfigurable manufacturing systems. The International Journal of Advanced Manufacturing Technology, 89(5), 2231-2249. doi:10.1007/s00170-016-9243-7
213. Wang, L., Liao, B., Liu, X., & Liu, J. (2017). Possibility-Based ELECTRE II Method with Uncertain Linguistic Fuzzy Variables. International Journal of Pattern Recognition & Artificial Intelligence, 0(0), 1759016. doi:10.1142/s0218001417590169
214. Wang, Z., & Liu, L. (2016). Optimized PROMETHEE Based on Interval Neutrosophic Sets for New Energy Storage Alternative Selection. Revista Tecnica de la Facultad de Ingenieria Universidad del Zulia, 39(9), 69-77. doi:10.21311/001.39.9.10
215. Wei, L., Hou, J., Qin, T., Yuan, Z., & Yan, Y. (2016, 27-29 July 2016). Evaluation of grid energy storage system based on AHP-PROMETHEE-GAIA. 2016 35th Chinese Control Conference (CCC).
216. Wen, Z., Yu, Y., & Yan, J. (2016). Best available techniques assessment for coal gasification to promote cleaner production based on the ELECTRE-II method. Journal of Cleaner Production, 129, 12-22. doi:https://doi.org/10.1016/j.jclepro.2016.04.136
217. Wiguna, K. A., Sarno, R., & Ariyani, N. F. (2016, 12-12 Oct. 2016). Optimization Solar Farm site selection using Multi-Criteria Decision Making Fuzzy AHP & PROMETHEE: case study in Bali. 2016 International Conference on Information & Communication Technology & Systems (ICTS).
218. Wu, Y., Zhang, J., Yuan, J., Geng, S., & Zhang, H. (2016). Study of decision framework of offshore wind power station site selection based on ELECTRE-III under intuitionistic fuzzy environment: A case of China. Energy Conversion & Management, 113, 66-81. doi:https://doi.org/10.1016/j.enconman.2016.01.020
219. Yakovlichev, A. Y., Milman, I. E., & Pilyugin, V. V. (2016). Using Visualization In Solving Discrete MCDA-Problem By Methods Of PROMETHEE Family. Scientific Visualization, 8(3), 78-94.
220. Yılmaz Kaya, B., & Dağdeviren, M. (2016). Selecting Occupational Safety Equipment by MCDM Approach Considering Universal Design Principles. Human Factors & Ergonomics in Manufacturing & Service Industries, 26(2), 224-242. doi:10.1002/hfm.20625
221. Yılmaz, M., & Ballı, S. (2016). Veri şifreleme algoritmalarının kullanımı için Akıllı bir seçim sistemi geliştirilmesi. Uluslararası Bilgi Güvenliği Mühendisliği Dergisi, 2(2), 18-28.
222. Yoon, S., Choi, S., & Ko, W. (2017). An Integrated Multicriteria Decision-Making Approach for Evaluating Nuclear Fuel Cycle Systems for Long-term Sustainability on the Basis of an Equilibrium Model: Technique for Order of Preference by Similarity to Ideal Solution, Preference Ranking Organization Method for Enrichment Evaluation & Multiattribute Utility Theory Combined with Analytic Hierarchy Process. Nuclear Engineering & Technology, 49(1), 148-164. doi:https://doi.org/10.1016/j.net.2016.07.009
223. You, X., Chen, T., & Yang, Q. (2016). Approach to Multi-Criteria Group Decision-Making Problems Based on the Best-Worst-Method & ELECTRE Method. Symmetry, 8(9), 95.
224. Yücel, M. G., & Görener, A. (2016). Decision Making for Company Acquisition by ELECTRE Method. International Journal of Supply Chain Management, 5(1), 75-83.
225. Zadeh, L. A. (1965). Fuzzy sets. Information & Control, 8(3), 338-353. doi:http://dx.doi.org/10.1016/S0019-9958(65)90241-X
226. Zhang, H., Wang, J., & Chen, X. (2016). An outranking approach for multi-criteria decision-making problems with interval-valued neutrosophic sets. Neural Computing & Applications, 27(3), 615-627. doi:10.1007/s00521-015-1882-3
227. Zhang, L., Yu, J., Sovacool, B. K., & Ren, J. (2017). Measuring energy security performance within China: Toward an inter-provincial prospective. Energy, 125, 825-836. doi:https://doi.org/10.1016/j.energy.2016.12.030
228. Zhong, L., & Yao, L. (2017). An ELECTRE I-based multi-criteria group decision making method with interval type-2 fuzzy numbers & its application to supplier selection. Applied Soft Computing, 57, 556-576. doi:https://doi.org/10.1016/j.asoc.2017.04.001
229. Zhou, H., Wang, J.-q., & Zhang, H.-y. (2017). Stochastic multicriteria decision-making approach based on SMAA-ELECTRE with extended gray numbers. International Transactions in Operational Research, 1-21. doi:10.1111/itor.12380
230. Zinatizadeh, S., Azmi, A., Monavari, S. M., & Sobhanardakani, S. (2017). Evaluation & prediction of sustainability of urban areas: A case study for Kermanshah city, Iran. Cities, 66, 1-9. doi:https://doi.org/10.1016/j.cities.2017.03.002
231. Živković, Ž., Nikolić, D., Savić, M., Djordjević, P., & Mihajlović, I. (2017). Prioritizing Strategic Goals in Higher Education Organizations by Using a SWOT–PROMETHEE/GAIA–GDSS Model. Group Decision & Negotiation, 1-18. doi:10.1007/s10726-017-9533-y