Journal article
Fuzzy rule interpolation and extrapolation techniques: Criteria and evaluation guidelines
Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.15(3), pp.254-263
2011
Abstract
This paper comprehensively analyzes Fuzzy Rule Interpolation and extrapolation Techniques (FRITs). Because extrapolation techniques are usually extensions of fuzzy rule interpolation, we treat them both as approximation techniques designed to be applied where sparse or incomplete fuzzy rule bases are used, i.e., when classical inference fails. FRITs have been investigated in the literature from aspects such as applicability to control problems, usefulness regarding complexity reduction and logic. Our objectives are to create an overall FRIT standard with a general set of criteria and to set a framework for guiding their classification and comparison. This paper is our initial investigation of FRITs. We plan to analyze details in later papers on how individual techniques satisfy the groups of criteria we propose. For analysis,MATLAB FRI Toolbox provides an easy-to-use testbed, as shown in experiments.
Details
- Title
- Fuzzy rule interpolation and extrapolation techniques: Criteria and evaluation guidelines
- Authors/Creators
- D. Tikk (Author/Creator)Z. Csaba Johanyák (Author/Creator)S. Kovács (Author/Creator)K.W. Wong (Author/Creator)
- Publication Details
- Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.15(3), pp.254-263
- Publisher
- Fuji Technology Press Co. Ltd.
- Number of pages
- 10
- Identifiers
- 991005542443207891
- Copyright
- Fuji Technology Press Ltd
- Murdoch Affiliation
- School of Information Technology
- Language
- English
- Resource Type
- Journal article
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