This paper presents a literature review and analysis of fuzzy linear programming models
and methods. This review traces back to the linear programming with fuzzy linear constraints …

The modeling and solving the optimization problem is one of the most important daily
problem. By notation the nature of data in practice which are imprecise, fully fuzzy linear …

We investigate various types of fuzzy linear programming problems based on models and
solution methods. First, we review fuzzy linear programming problems with fuzzy decision …

Corresponding to chance constraints, real‐life possibility, necessity, and credibility
measures on intuitionistic fuzzy set are defined. For the first time the mathematical and …

Recently Ganesan and Veeramani introduced a new approach for solving a kind of linear
programming problems involving symmetric trapezoidal fuzzy numbers without converting …

We propose a new decision model based on ANP for solving the decision making problem
with fuzzy pair-wise comparisons and a feedback between the criteria. The evaluation of the …

The most popular approach to handle the challenge of solving fuzzy linear programming
problems is to convert the fuzzy linear programming into the corresponding deterministic …

In this paper, we deal with two-person zero-sum games with fuzzy payoffs and fuzzy goals.
We have presented two models for studying two-person zero-sum matrix games with fuzzy …

This study presents a novel approach for managing sustainability risks in closed-loop supply
chains (CLSCs) through a hybrid optimization model. To achieve this, we utilized published …

A generalized model for a two person zero sum matrix game with fuzzy goals and fuzzy
payoffs via fuzzy relation approach is introduced, and it is shown to be equivalent to two …