Identification of Fuzzy Inference Systems by Means of a Multiobjective Opposition-Based Space Search Algorithm
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-04-11
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
We introduce a new category of fuzzy inference systems with the aid of a multiobjective opposition-based space search algorithm (MOSSA).
The proposed MOSSA is essentially a multiobjective space search algorithm improved by using an opposition-based learning that employs a so-called opposite numbers mechanism to speed up the convergence of the optimization algorithm.
In the identification of fuzzy inference system, the MOSSA is exploited to carry out the parametric identification of the fuzzy model as well as to realize its structural identification.
Experimental results demonstrate the effectiveness of the proposed fuzzy models.
American Psychological Association (APA)
Huang, Wei& Oh, Sung-Kwun. 2013. Identification of Fuzzy Inference Systems by Means of a Multiobjective Opposition-Based Space Search Algorithm. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-13.
https://search.emarefa.net/detail/BIM-1010503
Modern Language Association (MLA)
Huang, Wei& Oh, Sung-Kwun. Identification of Fuzzy Inference Systems by Means of a Multiobjective Opposition-Based Space Search Algorithm. Mathematical Problems in Engineering No. 2013 (2013), pp.1-13.
https://search.emarefa.net/detail/BIM-1010503
American Medical Association (AMA)
Huang, Wei& Oh, Sung-Kwun. Identification of Fuzzy Inference Systems by Means of a Multiobjective Opposition-Based Space Search Algorithm. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-13.
https://search.emarefa.net/detail/BIM-1010503
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1010503