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A note on “Solving fully fuzzy linear systems by using implicit gauss–cholesky algorithm”

This paper shows that the exact solutions for fully fuzzy linear systems for all examples in [1] are nonfuzzy solutions, and that the proposed solutions in [1] do not correspond to these systems.In addition, approximate fuzzy solutions are provided for all the examples.Finally, this paper shows the...

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Main Authors: Malkawi, Ghassan, Ahmad, Nazihah, Ibrahim, H., Albayari, Diya’ J.
Format: Article
Published: Springer US 2015
Subjects:
QA76 Computer software
Online Access:http://repo.uum.edu.my/15092/
http://doi.org/10.1007/s10598-015-9295-9
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spelling my.uum.repo.150922016-04-27T06:31:05Z http://repo.uum.edu.my/15092/ A note on “Solving fully fuzzy linear systems by using implicit gauss–cholesky algorithm” Malkawi, Ghassan Ahmad, Nazihah Ibrahim, H. Albayari, Diya’ J. QA76 Computer software This paper shows that the exact solutions for fully fuzzy linear systems for all examples in [1] are nonfuzzy solutions, and that the proposed solutions in [1] do not correspond to these systems.In addition, approximate fuzzy solutions are provided for all the examples.Finally, this paper shows the efficiency of the provided solutions by using the distance metric function introduced in [13]. Springer US 2015 Article PeerReviewed Malkawi, Ghassan and Ahmad, Nazihah and Ibrahim, H. and Albayari, Diya’ J. (2015) A note on “Solving fully fuzzy linear systems by using implicit gauss–cholesky algorithm”. Computational Mathematics and Modeling, 26 (4). pp. 585-592. ISSN 1046-283X http://doi.org/10.1007/s10598-015-9295-9 doi:10.1007/s10598-015-9295-9
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/
topic QA76 Computer software
spellingShingle QA76 Computer software
Malkawi, Ghassan
Ahmad, Nazihah
Ibrahim, H.
Albayari, Diya’ J.
A note on “Solving fully fuzzy linear systems by using implicit gauss–cholesky algorithm”
description This paper shows that the exact solutions for fully fuzzy linear systems for all examples in [1] are nonfuzzy solutions, and that the proposed solutions in [1] do not correspond to these systems.In addition, approximate fuzzy solutions are provided for all the examples.Finally, this paper shows the efficiency of the provided solutions by using the distance metric function introduced in [13].
format Article
author Malkawi, Ghassan
Ahmad, Nazihah
Ibrahim, H.
Albayari, Diya’ J.
author_facet Malkawi, Ghassan
Ahmad, Nazihah
Ibrahim, H.
Albayari, Diya’ J.
author_sort Malkawi, Ghassan
title A note on “Solving fully fuzzy linear systems by using implicit gauss–cholesky algorithm”
title_short A note on “Solving fully fuzzy linear systems by using implicit gauss–cholesky algorithm”
title_full A note on “Solving fully fuzzy linear systems by using implicit gauss–cholesky algorithm”
title_fullStr A note on “Solving fully fuzzy linear systems by using implicit gauss–cholesky algorithm”
title_full_unstemmed A note on “Solving fully fuzzy linear systems by using implicit gauss–cholesky algorithm”
title_sort note on “solving fully fuzzy linear systems by using implicit gauss–cholesky algorithm”
publisher Springer US
publishDate 2015
url http://repo.uum.edu.my/15092/
http://doi.org/10.1007/s10598-015-9295-9
_version_ 1644281627300331520
score 13.18916

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