On the Use of Fuzzy Inference systems for assessment and decision making problems

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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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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