Monotone fuzzy rule relabeling for the zero-order TSK fuzzy inference system

Pang, Lie Meng, Tay, Kai Meng and Lim, Chee Peng 2016, Monotone fuzzy rule relabeling for the zero-order TSK fuzzy inference system, IEEE transactions on fuzzy systems, vol. 24, no. 6, pp. 1455-1463, doi: 10.1109/TFUZZ.2016.2540059.

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Title Monotone fuzzy rule relabeling for the zero-order TSK fuzzy inference system
Author(s) Pang, Lie Meng
Tay, Kai Meng
Lim, Chee PengORCID iD for Lim, Chee Peng
Journal name IEEE transactions on fuzzy systems
Volume number 24
Issue number 6
Start page 1455
End page 1463
Total pages 9
Publisher IEEE
Place of publication Piscataway, N.J.
Publication date 2016-12
ISSN 1063-6706
Keyword(s) Failure mode and effect analysis (FMEA)
fuzzy rules relabeling
monotonicity property
Takagi–Sugeno–Kang (TSK) fuzzy inference system (FIS)
Summary To maintain the monotonicity property of a fuzzy inference system, a monotonically ordered and complete set of fuzzy rules is necessary. However, monotonically ordered fuzzy rules are not always available, e.g., errors in human judgments lead to nonmonotone fuzzy rules. The focus of this paper is on a new monotone fuzzy rule relabeling (MFRR) method that is able to relabel a set of nonmonotone fuzzy rules to meet the monotonicity property with reduced computation. Unlike the brute-force approach, which is susceptible to the combinatorial explosion problem, the proposed MFRR method explores within a reduced search space to find the solutions, therefore decreasing the computational requirements. The usefulness of the proposed method in undertaking failure mode and effect analysis problems is demonstrated using publicly available information. The results indicate that the MFRR method can produce optimal solutions with reduced computational time.
Language eng
DOI 10.1109/TFUZZ.2016.2540059
Field of Research 099999 Engineering not elsewhere classified
0801 Artificial Intelligence And Image Processing
0906 Electrical And Electronic Engineering
0102 Applied Mathematics
Socio Economic Objective 0 Not Applicable
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2016, IEEE
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