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Reseach Article

Matrix Inversion Method for Solving Fully Fuzzy Linear Systems with Triangular Fuzzy Numbers

by S. Muruganandam, K. Abdul Razak
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 65 - Number 4
Year of Publication: 2013
Authors: S. Muruganandam, K. Abdul Razak
10.5120/10911-5843

S. Muruganandam, K. Abdul Razak . Matrix Inversion Method for Solving Fully Fuzzy Linear Systems with Triangular Fuzzy Numbers. International Journal of Computer Applications. 65, 4 ( March 2013), 9-11. DOI=10.5120/10911-5843

@article{ 10.5120/10911-5843,
author = { S. Muruganandam, K. Abdul Razak },
title = { Matrix Inversion Method for Solving Fully Fuzzy Linear Systems with Triangular Fuzzy Numbers },
journal = { International Journal of Computer Applications },
issue_date = { March 2013 },
volume = { 65 },
number = { 4 },
month = { March },
year = { 2013 },
issn = { 0975-8887 },
pages = { 9-11 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume65/number4/10911-5843/ },
doi = { 10.5120/10911-5843 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:17:45.242454+05:30
%A S. Muruganandam
%A K. Abdul Razak
%T Matrix Inversion Method for Solving Fully Fuzzy Linear Systems with Triangular Fuzzy Numbers
%J International Journal of Computer Applications
%@ 0975-8887
%V 65
%N 4
%P 9-11
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Linear systems have important applications to many branches of Science and Engineering. In many applications, atleast some of the parameters of the system are represented by fuzzy rather than crisp numbers. This paper, discusses fully fuzzy linear systems with triangular fuzzy numbers. A matrix inversion method is proposed for solving Fully Fuzzy Linear System (FFLS) of equations. Finally, the method is illustrated by solving a numerical example.

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Index Terms

Computer Science
Information Sciences

Keywords

Triangular fuzzy numbers fuzzy arithmetic fully fuzzy linear systems matrix inversion method