The Mixed Type Splitting Methods for Solving Fuzzy Linear Systems
Joint Authors
Shahabi, S.
Edalatpanah, S. A.
Saberi Najafi, H.
Source
Applied Computational Intelligence and Soft Computing
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-11-18
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Information Technology and Computer Science
Abstract EN
We consider a class of fuzzy linear systems (FLS) and demonstrate some of the existing methods using the embedding approach for calculating the solution.
The main aim in this paper is to design a class of mixed type splitting iterative methods for solving FLS.
Furthermore, convergence analysis of the method is proved.
Numerical example is illustrated to show the applicability of the methods and to show the efficiency of proposed algorithm.
American Psychological Association (APA)
Saberi Najafi, H.& Edalatpanah, S. A.& Shahabi, S.. 2014. The Mixed Type Splitting Methods for Solving Fuzzy Linear Systems. Applied Computational Intelligence and Soft Computing،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1034169
Modern Language Association (MLA)
Saberi Najafi, H.…[et al.]. The Mixed Type Splitting Methods for Solving Fuzzy Linear Systems. Applied Computational Intelligence and Soft Computing No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-1034169
American Medical Association (AMA)
Saberi Najafi, H.& Edalatpanah, S. A.& Shahabi, S.. The Mixed Type Splitting Methods for Solving Fuzzy Linear Systems. Applied Computational Intelligence and Soft Computing. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1034169
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1034169
