A novel table look-up scheme based on GFScom and its application
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This work considers Mamdani fuzzy systems constructed from finite input–output data pairs using the generalized fuzzy sets with contradictory, opposite and medium negation (GFScom). Considering that the information available often consists of a set of finite numerical data pairs, a new table look-up scheme for constructing Mamdani fuzzy systems is presented. The designed fuzzy system is proved to be capable of approximating any real continuous function on a compact set to arbitrary degree of accuracy. We use this fuzzy modeling method for the truck back-upper control problem. The effectiveness of the proposed method is demonstrated by a comparison with the traditional table look-up scheme.
KeywordsNegative information Generalized fuzzy sets GFScom Design of fuzzy systems Approximation of continuous functions Truck backer-upper problem
This research was partially supported by the Natural Science Foundation of China (Grant No. 11271237), the Higher School Doctoral Subject Foundation of Ministry of Education of China (Grant No. 20130202110001), the Key Program of Natural Science Research of Education Department of Guizhou Province of China under Grant No. 408 Contract KY and the Science and Technology Planning Project of Qianxinan Prefecture of Guizhou Province of China under Grant No. 2015-1-51.
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Conflicts of interest
Shengli Zhang and Yongming Li declare that they have no conflict of interest.
Human and animal rights
And this article does not contain any studies with human participants or animals performed by any of the authors.
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