On the Use of Fuzzy Inference systems for assessment and decision making problems
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...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Springer-Verlag Berlin Heidelberg
2010
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Subjects: | |
Online Access: | http://ir.unimas.my/3042/ http://ir.unimas.my/3042/1/On%20the%20Use%20of%20Fuzzy%20Inference%20systems%20for%20assessment%20and%20decision%20making%20problems.pdf |
Summary: | 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. |
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