On the Use of Fuzzy Inference Techniques in Assessment Models: Part II: Industrial Applications
In this paper, we study the applicability of the monotone output property and the output resolution property in fuzzy assessment models to two industrial Failure Mode and Effect Analysis (FMEA) problems. First, the effectiveness of the monotone output property in a single-input fuzzy assessment mode...
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| Format: | Article |
| Language: | English |
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Springer Science
2008
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| Online Access: | http://ir.unimas.my/id/eprint/3044/ http://ir.unimas.my/id/eprint/3044/1/On%20the%20use%20of%20fuzzy.pdf |
| _version_ | 1848835131291205632 |
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| author | Tay, Kai Meng Lim, C.P |
| author_facet | Tay, Kai Meng Lim, C.P |
| author_sort | Tay, Kai Meng |
| building | UNIMAS Institutional Repository |
| collection | Online Access |
| description | In this paper, we study the applicability of the monotone output property and the output resolution property in fuzzy assessment models to two industrial Failure Mode and Effect Analysis (FMEA) problems. First, the effectiveness of the monotone output property in a single-input fuzzy assessment model is demonstrated with a proposed fuzzy occurrence model. Then, the usefulness of the two properties to a multi-input fuzzy assessment model, i.e., the Bowles fuzzy Risk Priority Number (RPN) model, is assessed. The experimental results indicate that both the fuzzy occurrence model and Bowles fuzzy RPNmodel are able to fulfill the monotone output property, with the derived conditions (in Part I) satisfied. In addition, the proposed rule refinement technique is able to improve the output resolution property of the Bowles fuzzy RPN model. |
| first_indexed | 2025-11-15T06:02:59Z |
| format | Article |
| id | unimas-3044 |
| institution | Universiti Malaysia Sarawak |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T06:02:59Z |
| publishDate | 2008 |
| publisher | Springer Science |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | unimas-30442022-03-25T02:09:42Z http://ir.unimas.my/id/eprint/3044/ On the Use of Fuzzy Inference Techniques in Assessment Models: Part II: Industrial Applications Tay, Kai Meng Lim, C.P TK Electrical engineering. Electronics Nuclear engineering In this paper, we study the applicability of the monotone output property and the output resolution property in fuzzy assessment models to two industrial Failure Mode and Effect Analysis (FMEA) problems. First, the effectiveness of the monotone output property in a single-input fuzzy assessment model is demonstrated with a proposed fuzzy occurrence model. Then, the usefulness of the two properties to a multi-input fuzzy assessment model, i.e., the Bowles fuzzy Risk Priority Number (RPN) model, is assessed. The experimental results indicate that both the fuzzy occurrence model and Bowles fuzzy RPNmodel are able to fulfill the monotone output property, with the derived conditions (in Part I) satisfied. In addition, the proposed rule refinement technique is able to improve the output resolution property of the Bowles fuzzy RPN model. Springer Science 2008 Article NonPeerReviewed text en http://ir.unimas.my/id/eprint/3044/1/On%20the%20use%20of%20fuzzy.pdf Tay, Kai Meng and Lim, C.P (2008) On the Use of Fuzzy Inference Techniques in Assessment Models: Part II: Industrial Applications. Fuzzy Optimization and Decision Making, 7 (3). pp. 283-302. http://www.springerlink.com/content/ex02036362v78784/ DOI 10.1007/s10700-008-9037- |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Tay, Kai Meng Lim, C.P On the Use of Fuzzy Inference Techniques in Assessment Models: Part II: Industrial Applications |
| title | On the Use of Fuzzy Inference Techniques in Assessment Models: Part II: Industrial Applications |
| title_full | On the Use of Fuzzy Inference Techniques in Assessment Models: Part II: Industrial Applications |
| title_fullStr | On the Use of Fuzzy Inference Techniques in Assessment Models: Part II: Industrial Applications |
| title_full_unstemmed | On the Use of Fuzzy Inference Techniques in Assessment Models: Part II: Industrial Applications |
| title_short | On the Use of Fuzzy Inference Techniques in Assessment Models: Part II: Industrial Applications |
| title_sort | on the use of fuzzy inference techniques in assessment models: part ii: industrial applications |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://ir.unimas.my/id/eprint/3044/ http://ir.unimas.my/id/eprint/3044/ http://ir.unimas.my/id/eprint/3044/ http://ir.unimas.my/id/eprint/3044/1/On%20the%20use%20of%20fuzzy.pdf |