Purpose The purpose of this paper is to survey and express the advantages and
disadvantages of the existing approaches for solving grey linear programming in decision …

Although quadratic programming problems are a special class of nonlinear programming,
they can also be seen as general linear programming problems. These quadratic problems …

In this paper, we introduce a few basic concepts of fuzzy space geometry in the three-
dimensional Euclidean space. The ideas that we study here are space fuzzy points, distance …

In this paper, a model to estimate the weights of mutually dependent criteria, based on
cause-effect assessments of a group of professionals, is developed for problem of multiple …

An inherent limitation of Linear Programming is the need to know precisely all the conditions
concerning the problem being modeled. This is not always possible as there exist …

Optimization problems under uncertainty has achieved much attention because of
inaccurate or incomplete data that often appear in real-world applications. In order to …

The goal of an investor is to maximize the required return in an investment by minimizing its
risk. With this in mind, a set of securities are chosen according to the experience and …

In this paper we present new complexity results for solving single and multiobjective fuzzy
integer programs with soft constraints and fuzzy objective function coefficients. Our method …

Although fuzzy quadratic programming problems are of the utmost importance in an
increasing variety of practical fields, there are remaining technological areas in which has …

A standard quadratic optimization problem (StQP) is to find optimal values of a quadratic
form over the standard simplex. The concept of possibility distribution was proposed by LA …