Fuzzy Interpolative Reasoning Using Interval Type-2 Fuzzy Sets

Authors:
Li-Wei Lee;Shyi-Ming Chen
Affiliations:
Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan, R. O. C.;Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan, R. O. C. and Department of Computer Science and Information Engine ...
Venue:
IEA/AIE '08 Proceedings of the 21st international conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems: New Frontiers in Applied Artificial Intelligence
Year:
2008

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Abstract

In this paper, we present a new fuzzy interpolative reasoning method using interval type-2 fuzzy sets. We calculate the ranking values through the reference points and the heights of the upper and the lower membership functions of interval type-2 fuzzy sets. By means of calculating the ranking values of the upper and the lower membership functions of interval type-2 fuzzy sets, we can use interval type-2 fuzzy sets to handle fuzzy interpolative reasoning in sparse fuzzy rule-based system in a more flexible manner.