A computational comparison between two evaluation criteria in fuzzy multiobjective linear programs using possibility programming

In this paper, a fuzzy multiobjective linear programming model is presented. Both the objective functions and the constraints are considered fuzzy. The coefficients of the decision variables in the objective functions and in the constraints, as well as the right-hand side of the constraints are assu...

Full description

Saved in:
Bibliographic Details
Published in:Computers & mathematics with applications (1987) Vol. 55; no. 11; pp. 2506 - 2511
Main Author: Iskander, Maged George
Format: Journal Article
Language:English
Published: Elsevier Ltd 01.06.2008
Subjects:
Computation
Criteria
Distance functions method
Fuzzy
Fuzzy logic
Fuzzy multiobjective linear programming
Fuzzy set theory
Global criterion method
Mathematical analysis
Mathematical models
Possibility programming
Programming
Fuzzy multiobjective linear programming
Global criterion method
Possibility programming
Distance functions method
ISSN:0898-1221, 1873-7668
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In this paper, a fuzzy multiobjective linear programming model is presented. Both the objective functions and the constraints are considered fuzzy. The coefficients of the decision variables in the objective functions and in the constraints, as well as the right-hand side of the constraints are assumed to be fuzzy numbers with either trapezoidal or triangular membership functions. The possibility programming approach is utilized to transform the fuzzy model to its crisp equivalent. A comparison between the global criterion method and the distance functions method, as two evaluation criteria, is illustrated by a computational study.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0898-1221
1873-7668
DOI:10.1016/j.camwa.2007.10.005