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Fuzzy Optimization and Decision Making

, Volume 7, Issue 3, pp 283–302 | Cite as

On the use of fuzzy inference techniques in assessment models: part II: industrial applications

  • Kai Meng Tay
  • Chee Peng Lim
Article

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 RPN model 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.

Keywords

Assessment models Monotone output property Output resolution property Failure mode and effect analysis Risk priority number 

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Copyright information

© Springer Science+Business Media, LLC 2008

Authors and Affiliations

  1. 1.Electronic Engineering Department, Faculty of EngineeringUniversity Malaysia SarawakKota SamarahanMalaysia
  2. 2.School of Electrical and Electronic EngineeringUniversity of Science MalaysiaMindenMalaysia

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