The Mixed Type Splitting Methods for Solving Fuzzy Linear Systems. (18th November 2014)
- Record Type:
- Journal Article
- Title:
- The Mixed Type Splitting Methods for Solving Fuzzy Linear Systems. (18th November 2014)
- Main Title:
- The Mixed Type Splitting Methods for Solving Fuzzy Linear Systems
- Authors:
- Saberi Najafi, H.
Edalatpanah, S. A.
Shahabi, S. - Other Names:
- Kumar D. Nagesh Academic Editor.
- Abstract:
- Abstract : 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.
- Is Part Of:
- Applied computational intelligence and soft computing. Volume 2014(2014)
- Journal:
- Applied computational intelligence and soft computing
- Issue:
- Volume 2014(2014)
- Issue Display:
- Volume 2014, Issue 2014 (2014)
- Year:
- 2014
- Volume:
- 2014
- Issue:
- 2014
- Issue Sort Value:
- 2014-2014-2014-0000
- Page Start:
- Page End:
- Publication Date:
- 2014-11-18
- Subjects:
- Computational intelligence -- Periodicals
Soft computing -- Periodicals
006.305 - Journal URLs:
- https://www.hindawi.com/journals/acisc/ ↗
- DOI:
- 10.1155/2014/960795 ↗
- Languages:
- English
- ISSNs:
- 1687-9724
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 10785.xml