Temelcan, GizemKocken, Hale GonceAlbayrak, Inci2026-01-302026-01-3020221064-12461064-12461875-8967https://doi.org/10.3233/JIFS-219192https://acikerisim2.beykoz.edu.tr/handle/123456789/125Gonce Kocken, Hale/0000-0003-1121-7099Solving 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 applicability of the algorithm.eninfo:eu-repo/semantics/closedAccessFully Fuzzy Multi-Objective Linear Programming ProblemCompromise SolutionRanking MethodDistance Method and Zero-Sum GameArticle10.3233/JIFS-2191922-s2.0-85122806243