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Fuzzy modelling using a simplified rule base

Khor, S.W., Khan, M.S. and Fung, C.C. (2004) Fuzzy modelling using a simplified rule base. In: 2004 IEEE Conference on Cybernetics and Intelligent Systems, 1-3 Dec. 2004, Singapore pp. 312-317.

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Link to Published Version: http://dx.doi.org/10.1109/ICCIS.2004.1460432
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Abstract

Transparency and complexity are two major concerns of fuzzy rule-based systems. To improve accuracy and precision of the outputs, we need to increase the partitioning of the input space. However, this increases the number of rules exponentially, thereby increasing the complexity of the system and decreasing its transparency. The main factor behind these two issues is the conjunctive canonical form of the fuzzy rules. We present a novel method for replacing these rules with their singleton forms, and using aggregation operators to provide the mechanism for combining the crisp outputs.

Publication Type: Conference Paper
Murdoch Affiliation: School of Information Technology
Publisher: IEEE
Copyright: (c) 2004 IEEE.
Notes: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
URI: http://researchrepository.murdoch.edu.au/id/eprint/619
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