Tay, K.M and Lim, C.P (2010) On the Use of Fuzzy Inference systems for assessment and decision making problems. Handbook on Decision Making, 4. pp. 233-246.
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Abstract
The Fuzzy Inference System (FIS) is a popular paradigm for undertaking assessment/measurement and decision problems. In practical applications, it is important to ensure the monotonicity property between the attributes (inputs) and the measuring index (output) of an FIS-based assessment/ measurement model. In this chapter, the sufficient conditions for an FIS-based model to satisfy the monotonicity property are first investigated. Then, an FIS-based Risk Priority Number (RPN) model for Failure Mode and Effect Analysis (FMEA) is examined. Specifically, an FMEA framework with a monotonicity-preserving FIS-based RPN model that fulfils the sufficient conditions is proposed. A case study pertaining to the use of the proposed FMEA framework in the semiconductor industry is presented. The results obtained are discussed and analyzed.
| Item Type: | Article |
|---|---|
| Additional Information: | Universiti Malaysia Sarawak, (UNIMAS) |
| Uncontrolled Keywords: | Fuzzy inference system, monotonicity property, sufficient conditions, failure mode and effect analysis, risk priority number, UNIMAS, Universiti Malaysia Sarawak, research, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, IPTA, education |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Academic Faculties, Institutes and Centres > Faculty of Engineering Faculties, Institutes, Centres > Faculty of Engineering |
| Depositing User: | Karen Kornalius |
| Date Deposited: | 28 May 2014 06:46 |
| Last Modified: | 05 Jul 2021 15:03 |
| URI: | http://ir.unimas.my/id/eprint/3042 |
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