Journal article
Improvements and critique on Sugeno's and Yasukawa's qualitative modeling
IEEE Transactions on Fuzzy Systems, Vol.10(5), pp.596-606
2002
Abstract
Investigates Sugeno's and Yasukawa's (1993) qualitative fuzzy modeling approach. We propose some easily implementable solutions for the unclear details of the original paper, such as trapezoid approximation of membership functions, rule creation from sample data points, and selection of important variables. We further suggest an improved parameter identification algorithm to be applied instead of the original one. These details are crucial concerning the method's performance as it is shown in a comparative analysis and helps to improve the accuracy of the built-up model. Finally, we propose a possible further rule base reduction which can be applied successfully in certain cases. This improvement reduces the time requirement of the method by up to 16% in our experiments.
Details
- Title
- Improvements and critique on Sugeno's and Yasukawa's qualitative modeling
- Authors/Creators
- D. Tikk (Author/Creator)G. Biro (Author/Creator)T.D. Gedeon (Author/Creator)L.T. Kóczy (Author/Creator)J.D. Yang (Author/Creator)
- Publication Details
- IEEE Transactions on Fuzzy Systems, Vol.10(5), pp.596-606
- Publisher
- IEEE
- Identifiers
- 991005541958507891
- Copyright
- © 2002 IEEE
- Murdoch Affiliation
- School of Information Technology
- Language
- English
- Resource Type
- Journal article
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- Citation topics
- 4 Electrical Engineering, Electronics & Computer Science
- 4.61 Artificial Intelligence & Machine Learning
- 4.61.56 Fuzzy Decision-Making
- Web Of Science research areas
- Computer Science, Artificial Intelligence
- Engineering, Electrical & Electronic
- ESI research areas
- Engineering