ORESTE Method in Fuzzy Decision-Making Problems and a Solution Proposal

Abstract

Decision-making process proceeds based on subjective values when precise numerical information is not available. In such cases, using fuzzy set theory together with the decision-making process provides more effective decisions. For this, many fuzzy decision making methods have been proposed in the literature. However, the use of these methods can be complex and difficult in some cases. In this study, it is proposed to apply the ORESTE (Organization, Rangement Et Synthese De Donnes Relationnelles) method, one of the Multi-Criteria Decision Making (MCDM) methods, to the fuzzy decision making problem. Since the ORESTE method only considers the ordering of alternatives and criteria, it has been determined that it can also be applied to problems involving linguistic data. The aim is to facilitate the solution of fuzzy decision making problems with this method. In order to determine the solution efficiency, the ORESTE method was applied to the fuzzy decision making problem in order picking systems where the demand is uncertain.

Keywords

• Fuzzy Decision Making
• ORESTE
• Order Picking

Bulanık karar verme problemlerinde ORESTE yöntemi ve bir çözüm önerisi

Abstract

Karar verme süreci, kesin sayısal bilgiler olmadığında sübjektif değerlere dayalı ilerlemektedir. Bu gibi durumlarda bulanık küme teorisini karar verme süreci ile beraber kullanmak, daha etkin kararlar verilmesini sağlamaktadır. Bunun için literatürde pek çok bulanık karar verme yöntemleri önerilmiştir. Ancak, bu yöntemlerin kullanılması bazı durumlarda karmaşık ve zor olabilmektedir. Bu çalışmada, bulanık karar verme problemine Çok Ölçütlü Karar Verme (ÇÖKV) yöntemlerinden ORESTE (Organization, Rangement Et Synthese De Donnes Relationnelles) yönteminin uygulanması önerilmiştir. ORESTE yöntemi, sadece alternatiflerin ve kriterlerin sıralamasını dikkate aldığı için dilsel veri içeren problemlere de uygulanabileceği tespit edilmiştir. Amaç, bu yöntemle bulanık karar verme problemlerinin çözümünü kolaylaştırmaktır. Çözüm etkinliğini tespit etmek amacıyla talebin belirsiz olduğu sipariş toplama sistemlerinde bulanık karar verme problemine ORESTE yöntemi uygulanmıştır.

Keywords

• Bulanık Karar Verme
• ORESTE
• Sipariş Toplama

References

1. Chatterjee, P. and Chakraborty, S. (2013). Advanced Manufacturing Systems Selection Using ORESTE Method. Int. J. Advanced Operations Management, 5(4), 337-361. doi: https://doi.org/10.1504/IJAOM.2013.058896
2. Çitli N. (2006). Bulanık Çok Kriterli Karar Verme. Doktora Tezi, Yıldız Teknik Üniversitesi, İstanbul
3. Dweiri, FT., Kablan, MM. (2006). Using fuzzy decision making for the evaluation of the Project management internal efficiency. Decision Support Systems, 42(2), 712-726. doi: https://doi.org/10.1016/j.dss.2005.04.001
4. Eroğlu, E., Yıldırım, B.F. Özdemir, M. (2014). Çok Kriterli Karar Vermede ORESTE Yöntemi ve Personel Seçiminde Uygulanması. Yönetim Dergisi, 76, 81-95. Erişim adresi: https://dergipark.org.tr/tr/pub/iuiieyd/issue/9207/115597
5. Givescu, O. (2007). The Oreste’s Method in the Multicriteria’s Decision Process for the Management of Tourism Field. Management Economia seria Management, 10(1), 37-51. Erişim adresi: https://ideas.repec.org/a/rom/econmn/v10y2007i1p37-51.html
6. Jafari, H., Noshadi, E., Khosheghbal, B. (2013). Ranking Ports Based on Competitive Indicators by Using ORESTE Method. International Research Journal of Applied and Basic Sciences, 4(6), 1492-1498. doi: https://doi.org/10.12691/ajphr-1-8-4
7. Long, Y., Liao, H. (2021). A social participatory allocation network method with partial relations of alternatives and it sapplication in sustainable food supply chain selection. Applied Soft Computing, 109 (107550), 1-14. doi: https://doi.org/10.1016/j.asoc.2021.107550
8. Luo, S., Liang, W., Zhao, G. (2020). Likelihood-based hybrid ORESTE method for evaluating the thermal comfort in underground mines. Applied Soft Computing, 87, 105983, 1-14. doi: https://doi.org/10.1016/j.asoc.2019.105983

9. Matějček M., Brožová, H. (2011). Multiple attributes analysis of vegetable production. MCBANTA'11. Nouras Barbu Lupulescu, Snejana Yordanova, and Valeri Mladenov. World Scientific and Engineering Academy and Society (WSEAS), Stevens Point, Wisconsin, USA, s. 27-32. Erişim adresi: https://dl.acm.org/doi/10.5555/1991147.1991152
10. Özdemir, YS. (2021). Küresel Bulanık AHS Yöntemi ile Elektrikli Araba Seçimi. Bulanık Çok Kriterli Karar Verme Yöntemleri MS Excel ve Software Çözümlü Uygulamalar, Ankara: Nobel Akademik Yayınevi, 15-26. Erişim adresi: https://www.nobelyayin.com/bulanik-cok-kriterli-karar-verme-yontemleri-ms-excel-ve-software-cozumlu-uygulamalar-17607.html
11. Pastijn, H., Leysen, J. (1989). Constructing an outranking relation with ORESTE. Mathematical and Computer Modelling, 12(10-11), 1255–1268. doi: https://doi.org/10.1016/0895-7177(89)90367-1
12. Pastjin, H., Leener, I. (2002). Selecting land mine detection strategies by means of outranking MCDM techniques. European Journal of Operational Research, 139(4), 327–338. doi: https://doi.org/10.1016/S0377-2217(01)00372-1 Roubens, M. (1980). Analyse et agrégation des préférences: Modélisation, ajustement et résumé de données relationnelles. Revue Beige de Recherche Operationnelle, de Statistique et d’Informatique, 20(2), 36–67. Erişim adresi: https://www.scopus.com/record/display.uri?eid=2-s2.0-0005770113&origin=inward&txGid=7fa61ecbfc1c9f187efeb950bbe66195
13. Roubens, M. (1982). Preference relations on actions and criteria in multicriteria decision making. European Journal of Operational Research, 10(51–55). doi: https://doi.org/10.1016/0377-2217(82)90131-X
14. Tuş Işık, A. (2016). QUALIFLEX and ORESTE Methods for the Insurance Company Selection Problem. The Journal of Operations Research, Statistics, Econometrics and Management Information Systems, 4(2), 55-68. doi: https://doi.org/10.17093/aj.2016.4.2.5000194524
15. Wang, X., Gou, X., & Xu, Z. (2020). Assessment of traffic congestion with ORESTE method under double hierarchy hesitant fuzzy linguistic environment. Applied Soft Computing, 86,105864, 12-13. doi: https://doi.org/10.1016/j.asoc.2019.105864
16. Yerlikaya, M.A. and Arıkan, F. (2016). Constructing the performance effectiveness order of SME supports programmes via Promethee and Oreste techniques. J. Faculty Eng. Architect. 31(4), 1007–1016. doi: https://doi.org/10.17341/gummfd.35469
17. Zheng, Q., Liu, X. Wang, W. (2021). An Extended Interval Type-2 Fuzzy ORESTE Method for Risk Analysis in FMEA. International Journal of Fuzzy Systems, 23, 1379–1395. doi: https://doi.org/10.1007/s40815-020-01034-1