Repairing the Inconsistent Fuzzy Preference Matrix Using Multiobjective PSO
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 matri...
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| Format: | Article |
| Language: | English |
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Wiley
2015-01-01
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| Series: | Advances in Fuzzy Systems |
| Online Access: | http://dx.doi.org/10.1155/2015/467274 |
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| _version_ | 1832562764310118400 |
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| author | Abba Suganda Girsang Chun-Wei Tsai Chu-Sing Yang |
| author_facet | Abba Suganda Girsang Chun-Wei Tsai Chu-Sing Yang |
| author_sort | Abba Suganda Girsang |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-be9718b67d474ce4aeb59706681ce9b2 |
| institution | Kabale University |
| issn | 1687-7101 1687-711X |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Fuzzy Systems |
| spelling | doaj-art-be9718b67d474ce4aeb59706681ce9b22025-02-03T01:21:54ZengWileyAdvances in Fuzzy Systems1687-71011687-711X2015-01-01201510.1155/2015/467274467274Repairing the Inconsistent Fuzzy Preference Matrix Using Multiobjective PSOAbba Suganda Girsang0Chun-Wei Tsai1Chu-Sing Yang2Master of Information Technology at Binus Graduate Program, Bina Nusantara University, Jalan Kebon Jeruk Raya No. 27, Jakarta 11530, IndonesiaDepartment of Computer Science and Information Engineering, National Ilan University, Yilan 26041, TaiwanInstitute of Computer and Communication Engineering and Department of Electrical Engineering, National Cheng Kung University, Tainan 70101, TaiwanThis 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.http://dx.doi.org/10.1155/2015/467274 |
| spellingShingle | Abba Suganda Girsang Chun-Wei Tsai Chu-Sing Yang Repairing the Inconsistent Fuzzy Preference Matrix Using Multiobjective PSO Advances in Fuzzy Systems |
| title | Repairing the Inconsistent Fuzzy Preference Matrix Using Multiobjective PSO |
| title_full | Repairing the Inconsistent Fuzzy Preference Matrix Using Multiobjective PSO |
| title_fullStr | Repairing the Inconsistent Fuzzy Preference Matrix Using Multiobjective PSO |
| title_full_unstemmed | Repairing the Inconsistent Fuzzy Preference Matrix Using Multiobjective PSO |
| title_short | Repairing the Inconsistent Fuzzy Preference Matrix Using Multiobjective PSO |
| title_sort | repairing the inconsistent fuzzy preference matrix using multiobjective pso |
| url | http://dx.doi.org/10.1155/2015/467274 |
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