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

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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Main Authors: Tay, K.M, Lim, C.P
Format: Article
Published: Springer Science 2008
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://ir.unimas.my/3044/
http://ir.unimas.my/3044/
id unimas-3044
recordtype eprints
spelling unimas-30442015-03-23T02:03:14Z http://ir.unimas.my/3044/ On the Use of Fuzzy Inference Techniques in Assessment Models: Part II: Industrial Applications Tay, K.M 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 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. http://www.springerlink.com/content/ex02036362v78784/
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Sarawak
building UNIMAS Institutional Repository
collection Online Access
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Tay, K.M
Lim, C.P
On the Use of Fuzzy Inference Techniques in Assessment Models: Part II: Industrial Applications
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.
format Article
author Tay, K.M
Lim, C.P
author_facet Tay, K.M
Lim, C.P
author_sort Tay, K.M
title 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_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_sort on the use of fuzzy inference techniques in assessment models: part ii: industrial applications
publisher Springer Science
publishDate 2008
url http://ir.unimas.my/3044/
http://ir.unimas.my/3044/
first_indexed 2018-09-06T14:55:25Z
last_indexed 2018-09-06T14:55:25Z
_version_ 1610870397568286720

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