Two Fuzzy Approaches for Solving Multiobjective Decision Problems

Authors:
Teresa León;Vicente Liern;Enriqueta Vercher
Affiliations:
Departament d'Estadística i Investigació Operativa, Universitat de València, E-46100-Burjasot (Valencia), Spain;Departament d'Economia Financera i Matemàtica, Universitat de València, E-46071-Valencia, Spain;Departament d'Estadística i Investigació Operativa, Universitat de València, E-46100-Burjasot (Valencia), Spain
Venue:
Computational Economics
Year:
2002

Citing 5
Cited 0

A parametric approach to fuzzy linear programming

Fuzzy Sets and Systems
Fuzzy set theory—and its applications (3rd ed.)

Fuzzy set theory—and its applications (3rd ed.)
Design and Testing of a Generalized Reduced Gradient Code for Nonlinear Programming

ACM Transactions on Mathematical Software (TOMS)
Optimization Software Guide

Optimization Software Guide
Fuzzy Mathematical Programming: Methods and Applications

Fuzzy Mathematical Programming: Methods and Applications

Quantified Score

Hi-index	0.00

Visualization

Abstract

Zimmermann (1978) proposed a fuzzy method for solving multiple objectivedecision problems whose main difficulty is in specifying the membershipfunctions of the objectives. We have considered two different approaches toconstruct those membership functions that give rise to two algorithms forsolving linear multiobjective decision problems.