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Application of the COPRAS Method in the Decision-Making Process

Year 2021, , 136 - 155, 28.08.2021
https://doi.org/10.38009/ekimad.929844

Abstract

Multi-criteria decision-making methods analyze the decision-making process in an environment with many interrelated criteria and alternatives. The main purpose is to choose the best alternative or to determine the performance ranking of a given number of alternatives. Decision making is when a decision maker chooses from among often conflicting criteria on a particular issue. These methods guide the decision maker in finding the best solution. In doing so, they compare ideal solutions with non-ideal solutions. The aim of the study is to apply the COPRAS method in the decision making process. A case study has been conducted for this. Western Europe: Current Quality of Life by City Index was used to demonstrate the application. According to the results of the COPRAS method for evaluating the current quality of life by Western European city, the top five cities with the best quality of life are respectively The Hague (Den Haag), Eindhoven, Vienna, Zurich, and Düsseldorf. Sensitivity analysis shows that the results found are reliable. As a result, the COPRAS method provides flexibility to the decision maker in all areas.

References

  • Adali, E. A., & Işık, A. T. (2016). Air conditioner selection problem with COPRAS and ARAS methods. Manas Sosyal Araştırmalar Dergisi, 5(2), 124-138.
  • Aghdaie, M. H., Zolfani, S. H., & Zavadskas, E. K. (2013). Market segment evaluation and selection based on application of fuzzy AHP and COPRAS-G methods. Journal of Business Economics and Management, 14(1), 213-233. doi:10.3846/16111699.2012.721392
  • Amoozad Mahdiraji, H., Arzaghi, S., Stauskis, G., & Zavadskas, E. K. (2018). A hybrid fuzzy BWM-COPRAS method for analyzing key factors of sustainable architecture. Sustainability, 10(5), 1626. doi:10.3390/su10051626
  • Ayçin, E., (2020). Çok Kriterli Karar Verme Bilgisayar Uygulamalı Çözümler. Nobel Yayıncılık. 2. Basım. Ankara
  • Bakhouyi, A., Dehbi, R., & Talea, M. (2016, December). Multiple criteria comparative evaluation on the interoperability of LMS by applying COPRAS method. In 2016 Future Technologies Conference (FTC) (pp. 361-366). IEEE.
  • Barysienė, J. (2012). A multi-criteria evaluation of container terminal technologies applying the COPRAS-G method. Transport, 27(4), 364-372. doi:10.3846/16484142.2012.750624
  • Bitarafan, M., Zolfani, S. H., Arefi, S. L., & Zavadskas, E. K. (2012). Evaluating the construction methods of cold-formed steel structures in reconstructing the areas damaged in natural crises, using the methods AHP and COPRAS-G. Archives of Civil and Mechanical Engineering, 12, 360-367. .doi.org/10.1016/j.acme.2012.06.015
  • Chatterjee, P., Athawale, V. M., & Chakraborty, S. (2011). Materials selection using complex proportional assessment and evaluation of mixed data methods. Materials & Design, 32(2), 851-860. doi:10.1016/j.matdes.2010.07.010
  • Darko, A. P., & Liang, D. (2020). An extended COPRAS method for multiattribute group decision making based on dual hesitant fuzzy Maclaurin symmetric mean. International Journal of Intelligent Systems, 35(6), 1021-1068. doi. 10.1002/int.22234
  • Das, M. C., Sarkar, B., & Ray, S. (2012). A framework to measure relative performance of Indian technical institutions using integrated fuzzy AHP and COPRAS methodology. Socio-Economic Planning Sciences, 46(3), 230-241. doi:10.1016/j.seps.2011.12.001
  • Dhiman, H. S., & Deb, D. (2020). Fuzzy TOPSIS and fuzzy COPRAS based multi-criteria decision making for hybrid wind farms. Energy, 202, 117755. doi.org/10.1016/j.energy.2020.117755
  • Fouladgar, M. M., Yazdani-Chamzini, A., Lashgari, A., Zavadskas, E. K., & Turskis, Z. (2012). Maintenance strategy selection using AHP and COPRAS under fuzzy environment. International Journal of Strategic Property Management, 16(1), 85-104. doi:10.3846/1648715X.2012.666657
  • Garg, R., Kumar, R., & Garg, S. (2018). MADM-based parametric selection and ranking of E-learning websites using fuzzy COPRAS. IEEE Transactions on Education, 62(1), 11-18.
  • Ghorabaee, M. K., Amiri, M., Sadaghiani, J. S., & Goodarzi, G. H. (2014). Multiple criteria group decision-making for supplier selection based on COPRAS method with interval type-2 fuzzy sets. The International Journal of Advanced Manufacturing Technology, 75(5-8), 1115-1130. doi 10.1007/s00170-014-6142-7
  • Hashemkhani Zolfani, S., & Bahrami, M. (2014). Investment prioritizing in high tech industries based on SWARA-COPRAS approach. Technological and Economic Development of Economy, 20(3), 534-553. doi:10.3846/20294913.2014.881435
  • Kablan, Ü. A., & Erdoğan, Ü. S. (2021). Mülkiyetine Göre Bankaların Finansal Performaslarının Copras Yöntemi İle Analizi: 1980-2018 Yılları Arası Türk Bankacılık Sektörü Üzerine Bir Araştırma. Mali Çözüm Dergisi/Financial Analysis, 30(163).
  • Kaklauskas, A., Zavadskas, E. K., Raslanas, S., Ginevicius, R., Komka, A., & Malinauskas, P. (2006). Selection of low-e windows in retrofit of public buildings by applying multiple criteria method COPRAS: A Lithuanian case. Energy and Buildings, 38(5), 454-462. doi:10.1016/j.enbuild.2005.08.005
  • Kildienė, S., Kaklauskas, A., & Zavadskas, E. K. (2011). COPRAS based comparative analysis of the European country management capabilities within the construction sector in the time of crisis. Journal of Business Economics and Management, 12(2), 417-434. doi:10.3846/16111699.2011.575190
  • Kouchaksaraei, R. H., Zolfani, S. H., & Golabchi, M. (2015). Glasshouse locating based on SWARA-COPRAS approach. International Journal of Strategic Property Management, 19(2), 111-122. doi:10.3846/1648715X.2015.1004565
  • Kumari, R., & Mishra, A. R. (2020). Multi-criteria COPRAS method based on parametric measures for intuitionistic fuzzy sets: application of green supplier selection. Iranian Journal of Science and Technology, Transactions of Electrical Engineering, 44(4), 1645-1662. doi.org/10.1007/s40998-020-00312-w
  • Kundakcı, N., & Işık, A. (2016). Integration of MACBETH and COPRAS methods to select air compressor for a textile company. Decision Science Letters, 5(3), 381-394. doi: 10.5267/j.dsl.2016.2.003
  • Kustiyahningsih, Y., & Aini, I. Q. (2020, October). Integration of FAHP and COPRAS Method for New Student Admission Decision Making. In 2020 Third International Conference on Vocational Education and Electrical Engineering (ICVEE) (pp. 1-6). IEEE.
  • Madić, M., Marković, D., Petrović, G., & Radovanović, M. (2014). Application of COPRAS method for supplier selection. In The Fifth International Conference Transport and Logistics-TIL 2014, Proceedings (pp. 47-50).
  • Makhesana, M. A. (2015). Application of improved complex proportional assessment (COPRAS) method for rapid prototyping system selection. Rapid Prototyping Journal. doi 10.1108/RPJ-03-2014-0027
  • Mercangoz, B. A., Yildirim, B. F., & Yildirim, S. K. (2020). Time period based COPRAS-G method: application on the Logistics Performance Index. LogForum, 16(2). doi.org/10.17270/J.LOG.2020.432
  • Mishra, A. R., Rani, P., & Pardasani, K. R. (2019). Multiple-criteria decision-making for service quality selection based on Shapley COPRAS method under hesitant fuzzy sets. Granular Computing, 4(3), 435-449. doi.org/10.1007/s41066-018-0103-8
  • Mishra, A. R., Rani, P., Pandey, K., Mardani, A., Streimikis, J., Streimikiene, D., & Alrasheedi, M. (2020). Novel multi-criteria intuitionistic fuzzy SWARA–COPRAS approach for sustainability evaluation of the bioenergy production process. Sustainability, 12(10), 4155. doi:10.3390/su12104155
  • Nakhaei, J., Lale Arefi, S., Bitarafan, M., & Kildienė, S. (2016). Evaluation of light supply in the public underground safe spaces by using of COPRAS-SWARA methods. International Journal of Strategic Property Management, 20(2), 198-206. doi:10.3846/1648715X.2015.1132790
  • Narayanamoorthy, S., Ramya, L., Kalaiselvan, S., Kureethara, J. V., & Kang, D. (2020). Use of DEMATEL and COPRAS method to select best alternative fuel for control of impact of greenhouse gas emissions. Socio-Economic Planning Sciences, 100996. doi.org/10.1016/j.seps.2020.100996
  • Nweze, S., & Achebo, J. (2021). Comparative Enhancement of Mild Steel Weld Mechanical Properties for Better Performance Using COPRAS–ARAS Method. European Journal of Engineering and Technology Research, 6(2), 70-74. doi.org/10.24018/ejers.2021.6.2.2226
  • Organ, A., & Yalçın, E. (2016). Performance evaluation of research assistants by COPRAS method. European Scientific Journal, 12(10), 102-109.
  • Podvezko, V. (2011). The comparative analysis of MCDA methods SAW and COPRAS. Engineering Economics, 22(2), 134-146. doi.org/10.5755/j01.ee.22.2.310
  • Popovic, G., Stanujkic, D., & Stojanovic, S. (2012). Investment project selection by applying copras method and imprecise data. Serbian Journal of Management, 7(2), 257-269. Doi. 10.5937/sjm7-2268
  • Rathi, K., & Balamohan, S. (2017). A mathematical model for subjective evaluation of alternatives in fuzzy multi-criteria group decision making using COPRAS method. International Journal of Fuzzy Systems, 19(5), 1290-1299. doi.10.1007/s40815-016-0256-z
  • Roozbahani, A., Ghased, H., & Shahedany, M. H. (2020). Inter-basin water transfer planning with grey COPRAS and fuzzy COPRAS techniques: A case study in Iranian Central Plateau. Science of the Total Environment, 726, 138499. doi.org/10.1016/j.scitotenv.2020.138499
  • Sałabun, W., Wątróbski, J., & Shekhovtsov, A. (2020). Are MCDA Methods Benchmarkable? A Comparative Study of TOPSIS, VIKOR, COPRAS, and PROMETHEE II Methods. Symmetry, 12(9), 1549. doi:10.3390/sym12091549
  • Sarıçalı, G., & Kundakcı, N. (2016). AHP ve COPRAS yöntemleri ile otel alternatiflerinin değerlendirilmesi. International Review Of Economics And Management, 4(1), 45-66. doi 10.18825/irem.00736
  • Turanoglu Bekar, E., Cakmakci, M., & Kahraman, C. (2016). Fuzzy COPRAS method for performance measurement in total productive maintenance: a comparative analysis. Journal of Business Economics and Management, 17(5), 663-684. doi:10.3846/16111699.2016.1202314
  • Valipour, A., Yahaya, N., Md Noor, N., Antuchevičienė, J., & Tamošaitienė, J. (2017). Hybrid SWARA-COPRAS method for risk assessment in deep foundation excavation project: An Iranian case study. Journal of Civil Engineering and Management, 23(4), 524-532. doi.org/10.3846/13923730.2017.1281842
  • Vytautas, B., Marija, B., & Vytautas, P. (2015). Assessment of neglected areas in Vilnius city using MCDM and COPRAS methods. Procedia Engineering, 122, 29-38. doi: 10.1016/j.proeng.2015.10.004
  • Wang, Z. L., You, J. X., Liu, H. C., & Wu, S. M. (2017). Failure mode and effect analysis using soft set theory and COPRAS method. International Journal of Computational Intelligence Systems, 10(1), 1002-1015.
  • Yazdani, M., Alidoosti, A., & Zavadskas, E. K. (2011). Risk analysis of critical infrastructures using fuzzy COPRAS. Economic research-Ekonomska istraživanja, 24(4), 27-40.
  • Yazdani, M., Jahan, A., & Zavadskas, E. (2017). Analysis in Material Selection: Influence of Normalızatıon Tools on COPRAS-G. Economic Computation & Economic Cybernetics Studies & Research, 51(1).
  • Zagorskas, J., Burinskienė, M., Zavadskas, E., & Turskis, Z. (2007). Urbanistic assessment of city compactness on the basis of GIS applying the COPRAS method. Ekologija, 53.
  • Zavadskas, E. K., Kaklauskas, A., Peldschus, F., & Turskis, Z. (2007). Multi-attribute assessment of road design solutions by using the COPRAS method. The Baltic Journal of Road and Bridge Engineering, 2(4), 195-203.
  • Zavadskas, E. K., Turskis, Z., Tamosaitiene, J., & Marina, V. (2008). Selection of construction project managers by applying COPRAS-G method. Computer Modelling and New Technologies, 12(3), 22-28.
  • Zavadskas, E.K., Kaklauskas, A., & Sarka, V., (1994) . The new method of multicriteria complex proportional assessment of projects. Technol. Econ. Dev. Econ. 1 (3), 131–139.
  • Zheng, Y., Xu, Z., He, Y., & Liao, H. (2018). Severity assessment of chronic obstructive pulmonary disease based on hesitant fuzzy linguistic COPRAS method. Applied Soft Computing, 69, 60-71. doi.org/10.1016/j.asoc.2018.04.035
  • Zolfani, S. H., Rezaeiniya, N., Aghdaie, M. H., & Zavadskas, E. K. (2012). Quality control manager selection based on AHP-COPRAS-G methods: a case in Iran. Economic research-Ekonomska istraživanja, 25(1), 72-86. doi.org/10.1080/1331677X.2012.11517495

Karar Verme Sürecinde COPRAS Yöntemi Uygulaması

Year 2021, , 136 - 155, 28.08.2021
https://doi.org/10.38009/ekimad.929844

Abstract

Çok kriterli karar verme yöntemleri birbirleriyle ilişkili çok sayıda kriter ve alternatifin olduğu bir ortamda karar verme sürecini analiz eder. Temel amaç en iyi alternatifi seçmek veya verilen çok sayıda alternatifin performans sıralanmasını belirlemektir. Karar verme bir karar vericinin belirli bir konuda genellikle çelişen kriterler arasından seçim yapmasıdır. Bu yöntemler karar vericiye en iyi çözümü bulma konusunda yol gösterir. Bunu yaparken ideal çözümler ile ideal olmayan çözümleri karşılaştırırlar. Çalışmanın amacı karar verme sürecinde COPRAS yöntemi uygulamasıdır. Bunun için bir vaka çalışması yapılmıştır. Uygulamanın gösterimi için Batı Avrupa: Şehre Göre Mevcut Yaşam Kalitesi İndeksi kullanılmıştır. Batı Avrupa şehre göre mevcut yaşam kalitesi değerlendirilmesine yönelik COPRAS yöntemi sonuçlarına göre, en iyi yaşam kalitesine sahip ilk beş şehir sırasıyla Lahey (Den Haag), Eindhoven, Viyana, Zürih, ve Düsseldorf şehirleridir. Duyarlılık analizleri bulunan sonuçların güvenilir olduğunu göstermektedir. Sonuç, COPRAS yöntemi, karar vericiye tüm alanlarda kullanılabilir bir esneklik sağlamaktadır.

References

  • Adali, E. A., & Işık, A. T. (2016). Air conditioner selection problem with COPRAS and ARAS methods. Manas Sosyal Araştırmalar Dergisi, 5(2), 124-138.
  • Aghdaie, M. H., Zolfani, S. H., & Zavadskas, E. K. (2013). Market segment evaluation and selection based on application of fuzzy AHP and COPRAS-G methods. Journal of Business Economics and Management, 14(1), 213-233. doi:10.3846/16111699.2012.721392
  • Amoozad Mahdiraji, H., Arzaghi, S., Stauskis, G., & Zavadskas, E. K. (2018). A hybrid fuzzy BWM-COPRAS method for analyzing key factors of sustainable architecture. Sustainability, 10(5), 1626. doi:10.3390/su10051626
  • Ayçin, E., (2020). Çok Kriterli Karar Verme Bilgisayar Uygulamalı Çözümler. Nobel Yayıncılık. 2. Basım. Ankara
  • Bakhouyi, A., Dehbi, R., & Talea, M. (2016, December). Multiple criteria comparative evaluation on the interoperability of LMS by applying COPRAS method. In 2016 Future Technologies Conference (FTC) (pp. 361-366). IEEE.
  • Barysienė, J. (2012). A multi-criteria evaluation of container terminal technologies applying the COPRAS-G method. Transport, 27(4), 364-372. doi:10.3846/16484142.2012.750624
  • Bitarafan, M., Zolfani, S. H., Arefi, S. L., & Zavadskas, E. K. (2012). Evaluating the construction methods of cold-formed steel structures in reconstructing the areas damaged in natural crises, using the methods AHP and COPRAS-G. Archives of Civil and Mechanical Engineering, 12, 360-367. .doi.org/10.1016/j.acme.2012.06.015
  • Chatterjee, P., Athawale, V. M., & Chakraborty, S. (2011). Materials selection using complex proportional assessment and evaluation of mixed data methods. Materials & Design, 32(2), 851-860. doi:10.1016/j.matdes.2010.07.010
  • Darko, A. P., & Liang, D. (2020). An extended COPRAS method for multiattribute group decision making based on dual hesitant fuzzy Maclaurin symmetric mean. International Journal of Intelligent Systems, 35(6), 1021-1068. doi. 10.1002/int.22234
  • Das, M. C., Sarkar, B., & Ray, S. (2012). A framework to measure relative performance of Indian technical institutions using integrated fuzzy AHP and COPRAS methodology. Socio-Economic Planning Sciences, 46(3), 230-241. doi:10.1016/j.seps.2011.12.001
  • Dhiman, H. S., & Deb, D. (2020). Fuzzy TOPSIS and fuzzy COPRAS based multi-criteria decision making for hybrid wind farms. Energy, 202, 117755. doi.org/10.1016/j.energy.2020.117755
  • Fouladgar, M. M., Yazdani-Chamzini, A., Lashgari, A., Zavadskas, E. K., & Turskis, Z. (2012). Maintenance strategy selection using AHP and COPRAS under fuzzy environment. International Journal of Strategic Property Management, 16(1), 85-104. doi:10.3846/1648715X.2012.666657
  • Garg, R., Kumar, R., & Garg, S. (2018). MADM-based parametric selection and ranking of E-learning websites using fuzzy COPRAS. IEEE Transactions on Education, 62(1), 11-18.
  • Ghorabaee, M. K., Amiri, M., Sadaghiani, J. S., & Goodarzi, G. H. (2014). Multiple criteria group decision-making for supplier selection based on COPRAS method with interval type-2 fuzzy sets. The International Journal of Advanced Manufacturing Technology, 75(5-8), 1115-1130. doi 10.1007/s00170-014-6142-7
  • Hashemkhani Zolfani, S., & Bahrami, M. (2014). Investment prioritizing in high tech industries based on SWARA-COPRAS approach. Technological and Economic Development of Economy, 20(3), 534-553. doi:10.3846/20294913.2014.881435
  • Kablan, Ü. A., & Erdoğan, Ü. S. (2021). Mülkiyetine Göre Bankaların Finansal Performaslarının Copras Yöntemi İle Analizi: 1980-2018 Yılları Arası Türk Bankacılık Sektörü Üzerine Bir Araştırma. Mali Çözüm Dergisi/Financial Analysis, 30(163).
  • Kaklauskas, A., Zavadskas, E. K., Raslanas, S., Ginevicius, R., Komka, A., & Malinauskas, P. (2006). Selection of low-e windows in retrofit of public buildings by applying multiple criteria method COPRAS: A Lithuanian case. Energy and Buildings, 38(5), 454-462. doi:10.1016/j.enbuild.2005.08.005
  • Kildienė, S., Kaklauskas, A., & Zavadskas, E. K. (2011). COPRAS based comparative analysis of the European country management capabilities within the construction sector in the time of crisis. Journal of Business Economics and Management, 12(2), 417-434. doi:10.3846/16111699.2011.575190
  • Kouchaksaraei, R. H., Zolfani, S. H., & Golabchi, M. (2015). Glasshouse locating based on SWARA-COPRAS approach. International Journal of Strategic Property Management, 19(2), 111-122. doi:10.3846/1648715X.2015.1004565
  • Kumari, R., & Mishra, A. R. (2020). Multi-criteria COPRAS method based on parametric measures for intuitionistic fuzzy sets: application of green supplier selection. Iranian Journal of Science and Technology, Transactions of Electrical Engineering, 44(4), 1645-1662. doi.org/10.1007/s40998-020-00312-w
  • Kundakcı, N., & Işık, A. (2016). Integration of MACBETH and COPRAS methods to select air compressor for a textile company. Decision Science Letters, 5(3), 381-394. doi: 10.5267/j.dsl.2016.2.003
  • Kustiyahningsih, Y., & Aini, I. Q. (2020, October). Integration of FAHP and COPRAS Method for New Student Admission Decision Making. In 2020 Third International Conference on Vocational Education and Electrical Engineering (ICVEE) (pp. 1-6). IEEE.
  • Madić, M., Marković, D., Petrović, G., & Radovanović, M. (2014). Application of COPRAS method for supplier selection. In The Fifth International Conference Transport and Logistics-TIL 2014, Proceedings (pp. 47-50).
  • Makhesana, M. A. (2015). Application of improved complex proportional assessment (COPRAS) method for rapid prototyping system selection. Rapid Prototyping Journal. doi 10.1108/RPJ-03-2014-0027
  • Mercangoz, B. A., Yildirim, B. F., & Yildirim, S. K. (2020). Time period based COPRAS-G method: application on the Logistics Performance Index. LogForum, 16(2). doi.org/10.17270/J.LOG.2020.432
  • Mishra, A. R., Rani, P., & Pardasani, K. R. (2019). Multiple-criteria decision-making for service quality selection based on Shapley COPRAS method under hesitant fuzzy sets. Granular Computing, 4(3), 435-449. doi.org/10.1007/s41066-018-0103-8
  • Mishra, A. R., Rani, P., Pandey, K., Mardani, A., Streimikis, J., Streimikiene, D., & Alrasheedi, M. (2020). Novel multi-criteria intuitionistic fuzzy SWARA–COPRAS approach for sustainability evaluation of the bioenergy production process. Sustainability, 12(10), 4155. doi:10.3390/su12104155
  • Nakhaei, J., Lale Arefi, S., Bitarafan, M., & Kildienė, S. (2016). Evaluation of light supply in the public underground safe spaces by using of COPRAS-SWARA methods. International Journal of Strategic Property Management, 20(2), 198-206. doi:10.3846/1648715X.2015.1132790
  • Narayanamoorthy, S., Ramya, L., Kalaiselvan, S., Kureethara, J. V., & Kang, D. (2020). Use of DEMATEL and COPRAS method to select best alternative fuel for control of impact of greenhouse gas emissions. Socio-Economic Planning Sciences, 100996. doi.org/10.1016/j.seps.2020.100996
  • Nweze, S., & Achebo, J. (2021). Comparative Enhancement of Mild Steel Weld Mechanical Properties for Better Performance Using COPRAS–ARAS Method. European Journal of Engineering and Technology Research, 6(2), 70-74. doi.org/10.24018/ejers.2021.6.2.2226
  • Organ, A., & Yalçın, E. (2016). Performance evaluation of research assistants by COPRAS method. European Scientific Journal, 12(10), 102-109.
  • Podvezko, V. (2011). The comparative analysis of MCDA methods SAW and COPRAS. Engineering Economics, 22(2), 134-146. doi.org/10.5755/j01.ee.22.2.310
  • Popovic, G., Stanujkic, D., & Stojanovic, S. (2012). Investment project selection by applying copras method and imprecise data. Serbian Journal of Management, 7(2), 257-269. Doi. 10.5937/sjm7-2268
  • Rathi, K., & Balamohan, S. (2017). A mathematical model for subjective evaluation of alternatives in fuzzy multi-criteria group decision making using COPRAS method. International Journal of Fuzzy Systems, 19(5), 1290-1299. doi.10.1007/s40815-016-0256-z
  • Roozbahani, A., Ghased, H., & Shahedany, M. H. (2020). Inter-basin water transfer planning with grey COPRAS and fuzzy COPRAS techniques: A case study in Iranian Central Plateau. Science of the Total Environment, 726, 138499. doi.org/10.1016/j.scitotenv.2020.138499
  • Sałabun, W., Wątróbski, J., & Shekhovtsov, A. (2020). Are MCDA Methods Benchmarkable? A Comparative Study of TOPSIS, VIKOR, COPRAS, and PROMETHEE II Methods. Symmetry, 12(9), 1549. doi:10.3390/sym12091549
  • Sarıçalı, G., & Kundakcı, N. (2016). AHP ve COPRAS yöntemleri ile otel alternatiflerinin değerlendirilmesi. International Review Of Economics And Management, 4(1), 45-66. doi 10.18825/irem.00736
  • Turanoglu Bekar, E., Cakmakci, M., & Kahraman, C. (2016). Fuzzy COPRAS method for performance measurement in total productive maintenance: a comparative analysis. Journal of Business Economics and Management, 17(5), 663-684. doi:10.3846/16111699.2016.1202314
  • Valipour, A., Yahaya, N., Md Noor, N., Antuchevičienė, J., & Tamošaitienė, J. (2017). Hybrid SWARA-COPRAS method for risk assessment in deep foundation excavation project: An Iranian case study. Journal of Civil Engineering and Management, 23(4), 524-532. doi.org/10.3846/13923730.2017.1281842
  • Vytautas, B., Marija, B., & Vytautas, P. (2015). Assessment of neglected areas in Vilnius city using MCDM and COPRAS methods. Procedia Engineering, 122, 29-38. doi: 10.1016/j.proeng.2015.10.004
  • Wang, Z. L., You, J. X., Liu, H. C., & Wu, S. M. (2017). Failure mode and effect analysis using soft set theory and COPRAS method. International Journal of Computational Intelligence Systems, 10(1), 1002-1015.
  • Yazdani, M., Alidoosti, A., & Zavadskas, E. K. (2011). Risk analysis of critical infrastructures using fuzzy COPRAS. Economic research-Ekonomska istraživanja, 24(4), 27-40.
  • Yazdani, M., Jahan, A., & Zavadskas, E. (2017). Analysis in Material Selection: Influence of Normalızatıon Tools on COPRAS-G. Economic Computation & Economic Cybernetics Studies & Research, 51(1).
  • Zagorskas, J., Burinskienė, M., Zavadskas, E., & Turskis, Z. (2007). Urbanistic assessment of city compactness on the basis of GIS applying the COPRAS method. Ekologija, 53.
  • Zavadskas, E. K., Kaklauskas, A., Peldschus, F., & Turskis, Z. (2007). Multi-attribute assessment of road design solutions by using the COPRAS method. The Baltic Journal of Road and Bridge Engineering, 2(4), 195-203.
  • Zavadskas, E. K., Turskis, Z., Tamosaitiene, J., & Marina, V. (2008). Selection of construction project managers by applying COPRAS-G method. Computer Modelling and New Technologies, 12(3), 22-28.
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There are 49 citations in total.

Details

Primary Language Turkish
Subjects Business Administration
Journal Section Articles
Authors

Hakan Altın 0000-0002-0012-0016

Publication Date August 28, 2021
Submission Date April 29, 2021
Published in Issue Year 2021

Cite

APA Altın, H. (2021). Karar Verme Sürecinde COPRAS Yöntemi Uygulaması. Ekonomi İşletme Ve Maliye Araştırmaları Dergisi, 3(2), 136-155. https://doi.org/10.38009/ekimad.929844