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An Algorithm for Obtaining Optimal Compromise Solution of a Multi Objective Fuzzy Linear Programming Problem

by P. K . De, Bharti Yadav
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 17 - Number 1
Year of Publication: 2011
Authors: P. K . De, Bharti Yadav
10.5120/2185-2760

P. K . De, Bharti Yadav . An Algorithm for Obtaining Optimal Compromise Solution of a Multi Objective Fuzzy Linear Programming Problem. International Journal of Computer Applications. 17, 1 ( March 2011), 20-24. DOI=10.5120/2185-2760

@article{ 10.5120/2185-2760,
author = { P. K . De, Bharti Yadav },
title = { An Algorithm for Obtaining Optimal Compromise Solution of a Multi Objective Fuzzy Linear Programming Problem },
journal = { International Journal of Computer Applications },
issue_date = { March 2011 },
volume = { 17 },
number = { 1 },
month = { March },
year = { 2011 },
issn = { 0975-8887 },
pages = { 20-24 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume17/number1/2185-2760/ },
doi = { 10.5120/2185-2760 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:04:30.334382+05:30
%A P. K . De
%A Bharti Yadav
%T An Algorithm for Obtaining Optimal Compromise Solution of a Multi Objective Fuzzy Linear Programming Problem
%J International Journal of Computer Applications
%@ 0975-8887
%V 17
%N 1
%P 20-24
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper proposes the method to the solution of multi objective linear programming problems in fuzzy environment. Here attention has been paid to the study of optimal compromise solution for multi objective fuzzy linear programming problems. Two algorithms have been presented to gives efficient solutions as well as an optimal compromise solution. An illustrative example is given to describe our proposed two algorithms.

References
  1. Bellman.R ,Zadeh .L.A, Decision making in a fuzzy environment, management science 17 B(4)(1970) 141-164
  2. Feng,Y.J, A method using fuzzy mathematical programming to solve the vector maximum problem,” Fuzzy sets and systems,9, 129-136(1983)
  3. Rommelfanger.H,” Interactive decision making in fuzzy linear optimization problems,”European journal of operational research,41 210-217(1989)
  4. Sandipan.G, Chakraborty.M,” multiobjective linear programming: A fuzzy approach, International journal of management and systems, vol 13, no 2 may-august 1997
  5. Tanaka.S,Okuda.H,Asai.K,”On fuzzy mathematical programming,J.cybernetics 3(1984) 37-46
  6. Ying-Yung.F,” A method using fuzzy mathematics to solve vector maximum problem, Fuzzy sets and systems,9 (1983)
  7. Zimmermann,H.J,” Fuzzy mathematical programming, comput. & ops. Res.vol.10 no 4 (1983) 291-298
  8. Zimmermann,H.J,” Fuzzy programming and linear programming with several objective functions, fuzzy sets and systems 1 (1978)45-55
Index Terms

Computer Science
Information Sciences

Keywords

Fuzzy linear programming Compromise solution Interactive-algorithms

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