On the Use of Fuzzy Inference Techniques in Assessment Models: Part II: Industrial Applications

Tay, K.M and Lim, C.P (2008) On the Use of Fuzzy Inference Techniques in Assessment Models: Part II: Industrial Applications. A Journal of Modeling and Computation Under Uncertainty, 7 (3). pp. 283-302.

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Official URL: http://www.springerlink.com/content/ex02036362v787...

Abstract

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.

Item Type: Article
Additional Information: Universiti Malaysia Sarawak, (UNIMAS)
Uncontrolled Keywords: Assessment models, Monotone output property, Output resolution property, Failure mode and effect analysis, Risk priority number, UNIMAS, Universiti Malaysia Sarawak, 2008, research, university, universiti, Malaysia, Sarawak, Kuching, Samarahan, IPTA, education
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Academic Faculties, Institutes and Centres > Faculty of Engineering
Depositing User: Karen Kornalius
Date Deposited: 28 May 2014 06:49
Last Modified: 23 Mar 2015 02:03
URI: http://ir.unimas.my/id/eprint/3044

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