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Reseach Article

Fully Fuzzy Multi-Level Linear Programming Problem

by O. E. Emam, E. Fathy, M. A. Helmy
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 155 - Number 7
Year of Publication: 2016
Authors: O. E. Emam, E. Fathy, M. A. Helmy
10.5120/ijca2016912287

O. E. Emam, E. Fathy, M. A. Helmy . Fully Fuzzy Multi-Level Linear Programming Problem. International Journal of Computer Applications. 155, 7 ( Dec 2016), 18-26. DOI=10.5120/ijca2016912287

@article{ 10.5120/ijca2016912287,
author = { O. E. Emam, E. Fathy, M. A. Helmy },
title = { Fully Fuzzy Multi-Level Linear Programming Problem },
journal = { International Journal of Computer Applications },
issue_date = { Dec 2016 },
volume = { 155 },
number = { 7 },
month = { Dec },
year = { 2016 },
issn = { 0975-8887 },
pages = { 18-26 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume155/number7/26616-2016912287/ },
doi = { 10.5120/ijca2016912287 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:00:38.164836+05:30
%A O. E. Emam
%A E. Fathy
%A M. A. Helmy
%T Fully Fuzzy Multi-Level Linear Programming Problem
%J International Journal of Computer Applications
%@ 0975-8887
%V 155
%N 7
%P 18-26
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper focuses on the solution of fully fuzzy multi-level linear programming (FFMLLP) Problem, where all of its decision parameters and variables are fuzzy numbers. An algorithm depending on the fuzzy decision approach and bound and decomposition method will be developed to find a fuzzy optimal solution for the problem under consideration. The main results obtained in this paper will be clarified by an illustrative numerical example.

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Index Terms

Computer Science
Information Sciences

Keywords

Multi-level programming Fuzzy decision approach Bound and decomposition method Fuzzy linear programming.