Repairing the Inconsistent Fuzzy Preference Matrix Using Multiobjective PSO
Joint Authors
Tsai, Chun-Wei
Girsang, Abba Suganda
Yang, Chu-Sing
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-10-27
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
This paper presents a method using multiobjective particle swarm optimization (PSO) approach to improve the consistency matrix in analytic hierarchy process (AHP), called PSOMOF.
The purpose of this method is to optimize two objectives which conflict each other, while improving the consistency matrix.
They are minimizing consistent ratio (CR) and deviation matrix.
This study focuses on fuzzy preference matrix as one model comparison matrix in AHP.
Some inconsistent matrices are repaired successfully to be consistent by this method.
This proposed method offers some alternative consistent matrices as solutions.
American Psychological Association (APA)
Girsang, Abba Suganda& Tsai, Chun-Wei& Yang, Chu-Sing. 2015. Repairing the Inconsistent Fuzzy Preference Matrix Using Multiobjective PSO. Advances in Fuzzy Systems،Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1052426
Modern Language Association (MLA)
Girsang, Abba Suganda…[et al.]. Repairing the Inconsistent Fuzzy Preference Matrix Using Multiobjective PSO. Advances in Fuzzy Systems No. 2015 (2015), pp.1-10.
https://search.emarefa.net/detail/BIM-1052426
American Medical Association (AMA)
Girsang, Abba Suganda& Tsai, Chun-Wei& Yang, Chu-Sing. Repairing the Inconsistent Fuzzy Preference Matrix Using Multiobjective PSO. Advances in Fuzzy Systems. 2015. Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1052426
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1052426