Row reduced echelon Form for solving fully fuzzy system with unknown coefficients

This study proposes a new method for finding a feasible fuzzy solution in positive Fully Fuzzy Linear System (FFLS), where the coefficients are unknown.The fully fuzzy system is transferred to linear system in order to obtain the solution using row reduced echelon form, thereafter; the crisp solutio...

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Main Authors: Malkawi, Ghassan, Ahmad, Nazihah, Ibrahim, Haslinda, Alshmari, Bander
Format: Article
Language:English
Published: International Scientific Publications and Consulting Services 2014
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Online Access:http://repo.uum.edu.my/16879/1/4.pdf
http://repo.uum.edu.my/16879/
http://doi.org/10.5899/2014/jfsva-00193
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spelling my.uum.repo.168792016-05-19T06:34:17Z http://repo.uum.edu.my/16879/ Row reduced echelon Form for solving fully fuzzy system with unknown coefficients Malkawi, Ghassan Ahmad, Nazihah Ibrahim, Haslinda Alshmari, Bander QA75 Electronic computers. Computer science This study proposes a new method for finding a feasible fuzzy solution in positive Fully Fuzzy Linear System (FFLS), where the coefficients are unknown.The fully fuzzy system is transferred to linear system in order to obtain the solution using row reduced echelon form, thereafter; the crisp solution is restricted in obtaining the positive fuzzy solution.The fuzzy solution of FFLS is included crisp intervals, to assign alternative values of unknown entries of fuzzy numbers.To illustrate the proposed method, numerical examples are solved, where the entries of coefficients are unknown in right or left hand side, to demonstrate the contributions in this study. International Scientific Publications and Consulting Services 2014 Article PeerReviewed application/pdf en cc_by http://repo.uum.edu.my/16879/1/4.pdf Malkawi, Ghassan and Ahmad, Nazihah and Ibrahim, Haslinda and Alshmari, Bander (2014) Row reduced echelon Form for solving fully fuzzy system with unknown coefficients. Journal of Fuzzy Set Valued Analysis, 2014. pp. 1-18. ISSN 21934169 http://doi.org/10.5899/2014/jfsva-00193 doi:10.5899/2014/jfsva-00193
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutionali Repository
url_provider http://repo.uum.edu.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Malkawi, Ghassan
Ahmad, Nazihah
Ibrahim, Haslinda
Alshmari, Bander
Row reduced echelon Form for solving fully fuzzy system with unknown coefficients
description This study proposes a new method for finding a feasible fuzzy solution in positive Fully Fuzzy Linear System (FFLS), where the coefficients are unknown.The fully fuzzy system is transferred to linear system in order to obtain the solution using row reduced echelon form, thereafter; the crisp solution is restricted in obtaining the positive fuzzy solution.The fuzzy solution of FFLS is included crisp intervals, to assign alternative values of unknown entries of fuzzy numbers.To illustrate the proposed method, numerical examples are solved, where the entries of coefficients are unknown in right or left hand side, to demonstrate the contributions in this study.
format Article
author Malkawi, Ghassan
Ahmad, Nazihah
Ibrahim, Haslinda
Alshmari, Bander
author_facet Malkawi, Ghassan
Ahmad, Nazihah
Ibrahim, Haslinda
Alshmari, Bander
author_sort Malkawi, Ghassan
title Row reduced echelon Form for solving fully fuzzy system with unknown coefficients
title_short Row reduced echelon Form for solving fully fuzzy system with unknown coefficients
title_full Row reduced echelon Form for solving fully fuzzy system with unknown coefficients
title_fullStr Row reduced echelon Form for solving fully fuzzy system with unknown coefficients
title_full_unstemmed Row reduced echelon Form for solving fully fuzzy system with unknown coefficients
title_sort row reduced echelon form for solving fully fuzzy system with unknown coefficients
publisher International Scientific Publications and Consulting Services
publishDate 2014
url http://repo.uum.edu.my/16879/1/4.pdf
http://repo.uum.edu.my/16879/
http://doi.org/10.5899/2014/jfsva-00193
_version_ 1644282082248097792
score 13.211869