An evolutionary-based similarity reasoning scheme for monotonic multi-input fuzzy inference systems

Tay, Kai Meng and Lim, Chee Peng 2011, An evolutionary-based similarity reasoning scheme for monotonic multi-input fuzzy inference systems, in FUZZ 2011 : Proceedings of the IEEE International Conference on Fuzzy Systems, IEEE Computer Society, Los Alamitos, Calif., pp. 442-447.

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Title An evolutionary-based similarity reasoning scheme for monotonic multi-input fuzzy inference systems
Author(s) Tay, Kai Meng
Lim, Chee Peng
Conference name International Conference on Fuzzy Systems (2011 : Taipei, Taiwan)
Conference location Taipei, Taiwan
Conference dates 27-30 Jun. 2011
Title of proceedings FUZZ 2011 : Proceedings of the IEEE International Conference on Fuzzy Systems
Editor(s) [Unknown]
Publication date 2011
Conference series International Conference on Fuzzy Systems
Start page 442
End page 447
Total pages 6
Publisher IEEE Computer Society
Place of publication Los Alamitos, Calif.
Keyword(s) fuzzy rule interpolation
monotonicity propery
Multi-input fuzzy inference system
similarity reasoning
Summary In this paper, an Evolutionary-based Similarity Reasoning (ESR) scheme for preserving the monotonicity property of the multi-input Fuzzy Inference System (FIS) is proposed. Similarity reasoning (SR) is a useful solution for undertaking the incomplete rule base problem in FIS modeling. However, SR may not be a direct solution to designing monotonic multi-input FIS models, owing to the difficulty in getting a set of monotonically-ordered conclusions. The proposed ESR scheme, which is a synthesis of evolutionary computing, sufficient conditions, and SR, provides a useful solution to modeling and preserving the monotonicity property of multi-input FIS models. A case study on Failure Mode and Effect Analysis (FMEA) is used to demonstrate the effectiveness of the proposed ESR scheme in undertaking real world problems that require the monotonicity property of FIS models.
ISBN 1424473152
9781424473151
ISSN 1098-7584
Language eng
Field of Research 089999 Information and Computing Sciences not elsewhere classified
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1.1 Full written paper - refereed
Copyright notice ©2011, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30049252

Document type: Conference Paper
Collection: Institute for Frontier Materials
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