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Weighted fuzzy interpolative reasoning based on interval type-2 fuzzy sets

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2 Author(s)
Li-Wei Lee ; Dept. of Comput. Sci. & Inf. Eng., Nat. Taiwan Univ. of Sci. & Technol., Taipei ; Shyi-Ming Chen

In this paper, we present a weighted fuzzy interpolative reasoning method for sparse fuzzy rule-based system based on interval type-2 fuzzy sets. Based on the ranking values of interval type-2 fuzzy sets, we present a weighted fuzzy interpolative reasoning method for sparse fuzzy rule-based systems. We also use an example to illustrate the proposed weighted fuzzy interpolative reasoning method based on interval type-2 fuzzy sets. The proposed method provides us a useful way to deal with weighted fuzzy interpolative reasoning based on the ranking values of interval type-2 fuzzy sets.

Published in:

Machine Learning and Cybernetics, 2008 International Conference on  (Volume:6 )

Date of Conference:

12-15 July 2008

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