A Computational Procedure for solving a Non-Convex Multi-Objective Quadratic Programming under Fuzzy Environment

TL;DR

This paper introduces a computational method for solving non-convex fuzzy multi-objective quadratic programming problems with fuzzy coefficients and resources, providing a way to find efficient solutions in uncertain environments.

Contribution

It develops a novel computational procedure specifically designed for non-convex fuzzy multi-objective quadratic programming problems, addressing the challenge of fuzzy parameters.

Findings

The procedure successfully finds fuzzy efficient solutions.

Numerical example demonstrates the effectiveness of the method.

Addresses non-convexity and fuzziness in quadratic programming.

Abstract

The purpose of this paper is to study a non-convex fuzzy multi-objective quadratic programming problem, in which both the technological coefficients and resources are fuzzy with nonlinear membership function. A computational procedure to find a fuzzy efficient solution of this problem is developed. A numerical example is given to illustrate the procedure.