Optimization of Gaussian Fuzzy Membership Functions and Evaluation of the Monotonicity Property of Fuzzy Inference Systems
In this paper, two issues relating to modeling of a monotonicity-preserving Fuzzy Inference System (FIS) are examined. The first is on designing or tuning of Gaussian Membership Functions (MFs) for a monotonic FIS. Designing Gaussian MFs for an FIS is difficult because of its spreading and curvature...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2011
|
| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/559/ http://ir.unimas.my/id/eprint/559/1/Optimization%20of%20Gaussian%20Fuzzy%20Membership%20Functions%20and%20Evaluation%20of%20the%20Monotonicity%20Property%20of%20Fuzzy%20Inference%20Systems.pdf |
| _version_ | 1848834569338355712 |
|---|---|
| author | Kai, Meng Tay Chee, Peng Lim |
| author_facet | Kai, Meng Tay Chee, Peng Lim |
| author_sort | Kai, Meng Tay |
| building | UNIMAS Institutional Repository |
| collection | Online Access |
| description | In this paper, two issues relating to modeling of a monotonicity-preserving Fuzzy Inference System (FIS) are examined. The first is on designing or tuning of Gaussian Membership Functions (MFs) for a monotonic FIS. Designing Gaussian MFs for an FIS is difficult because of its spreading and curvature characteristics. In this study, the sufficient conditions are exploited, and the procedure of designing Gaussian MFs is formulated as a constrained optimization problem. The second issue is on the testing procedure for a monotonic FIS. As such, a testing procedure for a monotonic FIS model is proposed. Applicability of the proposed approach is demonstrated with a real world industrial application, i.e., Failure Mode and Effect Analysis. The results obtained are analysis and discussed. The outcomes show that the proposed approach is useful in designing a monotonicity-preserving FIS model. |
| first_indexed | 2025-11-15T05:54:04Z |
| format | Article |
| id | unimas-559 |
| institution | Universiti Malaysia Sarawak |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T05:54:04Z |
| publishDate | 2011 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | unimas-5592015-03-23T08:08:59Z http://ir.unimas.my/id/eprint/559/ Optimization of Gaussian Fuzzy Membership Functions and Evaluation of the Monotonicity Property of Fuzzy Inference Systems Kai, Meng Tay Chee, Peng Lim T Technology (General) TK Electrical engineering. Electronics Nuclear engineering In this paper, two issues relating to modeling of a monotonicity-preserving Fuzzy Inference System (FIS) are examined. The first is on designing or tuning of Gaussian Membership Functions (MFs) for a monotonic FIS. Designing Gaussian MFs for an FIS is difficult because of its spreading and curvature characteristics. In this study, the sufficient conditions are exploited, and the procedure of designing Gaussian MFs is formulated as a constrained optimization problem. The second issue is on the testing procedure for a monotonic FIS. As such, a testing procedure for a monotonic FIS model is proposed. Applicability of the proposed approach is demonstrated with a real world industrial application, i.e., Failure Mode and Effect Analysis. The results obtained are analysis and discussed. The outcomes show that the proposed approach is useful in designing a monotonicity-preserving FIS model. IEEE 2011 Article NonPeerReviewed text en http://ir.unimas.my/id/eprint/559/1/Optimization%20of%20Gaussian%20Fuzzy%20Membership%20Functions%20and%20Evaluation%20of%20the%20Monotonicity%20Property%20of%20Fuzzy%20Inference%20Systems.pdf Kai, Meng Tay and Chee, Peng Lim (2011) Optimization of Gaussian Fuzzy Membership Functions and Evaluation of the Monotonicity Property of Fuzzy Inference Systems. IEEE. |
| spellingShingle | T Technology (General) TK Electrical engineering. Electronics Nuclear engineering Kai, Meng Tay Chee, Peng Lim Optimization of Gaussian Fuzzy Membership Functions and Evaluation of the Monotonicity Property of Fuzzy Inference Systems |
| title | Optimization of Gaussian Fuzzy Membership Functions and Evaluation of the Monotonicity Property of Fuzzy Inference Systems |
| title_full | Optimization of Gaussian Fuzzy Membership Functions and Evaluation of the Monotonicity Property of Fuzzy Inference Systems |
| title_fullStr | Optimization of Gaussian Fuzzy Membership Functions and Evaluation of the Monotonicity Property of Fuzzy Inference Systems |
| title_full_unstemmed | Optimization of Gaussian Fuzzy Membership Functions and Evaluation of the Monotonicity Property of Fuzzy Inference Systems |
| title_short | Optimization of Gaussian Fuzzy Membership Functions and Evaluation of the Monotonicity Property of Fuzzy Inference Systems |
| title_sort | optimization of gaussian fuzzy membership functions and evaluation of the monotonicity property of fuzzy inference systems |
| topic | T Technology (General) TK Electrical engineering. Electronics Nuclear engineering |
| url | http://ir.unimas.my/id/eprint/559/ http://ir.unimas.my/id/eprint/559/1/Optimization%20of%20Gaussian%20Fuzzy%20Membership%20Functions%20and%20Evaluation%20of%20the%20Monotonicity%20Property%20of%20Fuzzy%20Inference%20Systems.pdf |