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Solving a Fully Fuzzy Multiobjective Programming Problem using its Equivalent Weighted Goal Programming Problem

by Babita Mishra, S. R. Singh
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 134 - Number 4
Year of Publication: 2016
Authors: Babita Mishra, S. R. Singh
10.5120/ijca2016907877

Babita Mishra, S. R. Singh . Solving a Fully Fuzzy Multiobjective Programming Problem using its Equivalent Weighted Goal Programming Problem. International Journal of Computer Applications. 134, 4 ( January 2016), 15-20. DOI=10.5120/ijca2016907877

@article{ 10.5120/ijca2016907877,
author = { Babita Mishra, S. R. Singh },
title = { Solving a Fully Fuzzy Multiobjective Programming Problem using its Equivalent Weighted Goal Programming Problem },
journal = { International Journal of Computer Applications },
issue_date = { January 2016 },
volume = { 134 },
number = { 4 },
month = { January },
year = { 2016 },
issn = { 0975-8887 },
pages = { 15-20 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume134/number4/23901-2016907877/ },
doi = { 10.5120/ijca2016907877 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:33:14.371284+05:30
%A Babita Mishra
%A S. R. Singh
%T Solving a Fully Fuzzy Multiobjective Programming Problem using its Equivalent Weighted Goal Programming Problem
%J International Journal of Computer Applications
%@ 0975-8887
%V 134
%N 4
%P 15-20
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper introduces a computational method of solving fully fuzzy multi objective linear programming problem through goal programming approach. Here we deal the imprecise parameters as fuzzy numbers with assumption that these fuzzy numbers have some possibility distribution associated with fuzzy variables. In the study, we extend the concept of conflict and non-conflict between objective functions to fuzzy objective functions to compute the expected priority structure and expected aspiration level for various goals. Further, in view of some risk taken by decision maker,

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Index Terms

Computer Science
Information Sciences

Keywords

Fully fuzzy multi objective linear programming problem conflict and non-conflict between objective functions triangular fuzzy number.

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