Research Article
Solving a Fully Fuzzy Multiobjective Programming Problem using its Equivalent Weighted Goal Programming Problem
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 134 - Issue 4 |
| Published: January 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 },
year = { 2016 },
volume = { 134 },
number = { 4 },
pages = { 15-20 },
doi = { 10.5120/ijca2016907877 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2016
%A Babita Mishra
%A S. R. Singh
%T Solving a Fully Fuzzy Multiobjective Programming Problem using its Equivalent Weighted Goal Programming Problem%T
%J International Journal of Computer Applications
%V 134
%N 4
%P 15-20
%R 10.5120/ijca2016907877
%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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