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

Author:

Chen Shyi-Ming,Lee Li-Wei,Shen Victor R.L.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference39 articles.

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2. A generalized concept for fuzzy rule interpolative;Baranyi;IEEE Transactions on Fuzzy Systems,2004

3. P. Baranyi, D. Tikk, Y. Yam, L.T. Koczy, A new method for avoiding abnormal conclusion for α-cut based rule interpolation, in: Proceedings of the 1999 IEEE International Conference on Fuzzy Systems, 1999, pp. 383–388.

4. B. Bouchon-Meunier, C. Marsalla, M. Rifqi, Interpolative reasoning based on graduality, in: Proceedings of the 2000 IEEE International Conference on Fuzzy Systems, 2000, pp. 483–487.

5. Comparative study of bio-inspired algorithms applied to the optimization of type-1 and type-2 fuzzy controllers for an autonomous mobile robot;Castillo;Information Sciences,2012

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