Some information and knowledge are usually represented by human language like “about
100km”,“approximately 39° C”,“roughly 80kg”,“low speed”,“middle age”, and “big size”. How …

In this paper, a direct solution method that is based on ranking methods of fuzzy numbers
and tabu search is proposed to solve fuzzy multi-objective aggregate production planning …

Hub location selection problems have become one of the most popular and important issues
not only in the truck transportation and the air transportation, but also in the marine …

With the urgency of global warming, green supply chain management, logistics in particular,
has drawn the attention of researchers. Although there are closed-loop green logistics …

One of the most interesting models of the linear programming is the flexible linear
programming problem. It is shown that by using a suitable membership function for their …

A superiority–inferiority-based inexact fuzzy stochastic programming (SI-IFSP) model was
developed for planning municipal solid waste management systems under uncertainty. The …

A new method namely, decomposition method for solving integer linear programming
problems with fuzzy variables by using classical integer linear programming has been …

The activities of route planning in logistics can be modeled according to the standard forms
seen in vehicle route problems. This paper is devoted to the development of comprehensive …

In this paper, we firstly consider an optimization problem with a linear objective function
subject to a system of fuzzy relation inequalities using the max-product composition. Since …

We present a new method to optimize the nonlinear objective function with fuzzy coefficients
and fuzzy constraints using Genetic Algorithm (GA). We use GA to solve this fuzzy problem …