The main inquisition of this paper is to introduce two methods for solving a multi-objective
green 4-dimensional fixed-charge transportation problem (MG4FTP) under neutrosophic …

This paper exhibits a novel approach for solving fully intuitionistic fuzzy multi-objective
fractional transportation problem (FIF-MOFTP). Because of the change of market policies, we …

Optimization problems in the fuzzy environment are widely studied in the literature. We
restrict our attention to mathematical programming problems with coefficients and/or …

This paper presents a new method for solving an intuitionistic fuzzy multi-objective linear
fractional optimization (IFMOLFO) problem with crisp and intuitionistic fuzzy constraints …

This study surveys the use of fuzzy numbers in classic optimization models, and its effects on
making decisions. In a wide sense, mathematical programming is a collection of tools used …

Uncertainty in real-world fractional transportation problem is the major issue. In this paper, a
multi-choice fractional stochastic multi-objective transportation problem (MCFS-MOTP) is …

In these days, rough set theory has emerged as an invaluable tool for expressing uncertainty
in various optimization problems as it takes into account both the consistency and the …

This article presents a multiple objective fractional fixed-charge transportation problem
(MFFTP) in a rough decision-making framework. A transformation procedure is modified to …

In this paper, we have suggested an alternative approach to solve intuitionistic fuzzy multi
objective linear fractional programming problems (IFMOLFPP). Here, the cost of the …

In the corporations working with logistics, many management issues involving optimization
require fractional quadratic programming. Further, crisp parameters are unable to model the …