An approach for solving fully fuzzy multi-objective linear fractional optimization problems

摘要: This article presents an algorithm for solving fully fuzzy multi-objective linear fractional (FFMOLF) optimization problem. Some computational algorithms have been developed the solution of single-objective problems. Veeramani and Sumathi (Appl Math Model 40:6148–6164, 2016) pointed out that no is available a Das et al. (RAIRO-Oper Res 51:285–297, 2017) proposed method programming problem using programming. Moreover, it fact method/algorithm FFMOLF In this article, MOLF considered, where all coefficients variables are assumed to be triangular numbers (TFNs). So, we proposing with help ranking function weighted approach. To validate intelligent algorithm, three existing classical numerical problems converted into approximate TFNs. Then, applied in asymmetric way. Since there literature difficult problem, compare obtained efficient solutions corresponding methods deterministic