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Finding compromise solutions for fully fuzzy multi-olbjective linear programming problems by using game theory approach   
Yazarlar (3)
Dr. Öğr. Üyesi Gizem Temelcan ERGENECOŞAR Dr. Öğr. Üyesi Gizem Temelcan ERGENECOŞAR
Beykoz Üniversitesi, Türkiye
Hale Köçken
Yıldız Teknik Üniversitesi, Türkiye
Fatma İnci Albayrak
Yıldız Teknik Üniversitesi, Türkiye
Devamını Göster
Özet
Solving multi-objective linear programming (MOLP) problems and fully fuzzy multi-objective linear programming (FFMOLP) problems involves the trade-off process among several objectives. A new algorithm extended where FFMOLP problems are solved using a 2-player zero-sum game approach to deal with this case. Firstly, The FFMOLP problem is separated into a certain number of fully fuzzy linear programming (FFLP) problems and each is solved by applying any method. After forming a ratio matrix, a game theory approach is applied for finding the weights of objective functions and a weighted LP problem is constructed by these weights. Solving the weighted LP problem, a fuzzy compromise solution of the FFMOLP problem is found. Constructing different ratio matrices, it is also possible to obtain more than one compromise solution to be offered to the decision-maker(s). Some examples are given to show the …
Anahtar Kelimeler
Makale Türü Özgün Makale
Makale Alt Türü SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale
Dergi Adı Journal of Intelligent and Fuzzy Systems
Dergi ISSN 1064-1246 Wos Dergi Scopus Dergi
Dergi Tarandığı Indeksler SCI-Expanded
Dergi Grubu Q4
Makale Dili İngilizce
Basım Tarihi 01-2022
Cilt No 42
Sayı 1
Sayfalar 283 / 293
DOI Numarası 10.3233/JIFS-219192
Makale Linki https://content.iospress.com/articles/journal-of-intelligent-and-fuzzy-systems/ifs219192