Reasoning conditions on Kóczy's interpolative reasoning method in sparse fuzzy rule bases. Part II

Fuzzy Sets and Systems

Volumn 87, Issue 1, 1997, Pages 47-56

  Shi, Yan ^a   Mizumoto, Masaharu ^a  

^a OSAKA ELECTRO COMMUNICATION UNIVERSITY   (Japan)

Author keywords

Convexity; Interpolative reasoning; Monotone increasing function; Sparse fuzzy rule bases

Indexed keywords

EID: 1542320820     PISSN: 01650114     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0165-0114(96)00031-0     Document Type: Article

References (9)

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2. L.T. Kóczy and K. Hirota, Interpolative reasoning with insufficient evidence in sparse fuzzy rules bases, Inform. Sci. 71 (1993) 169-201.
3. L.T. Kóczy and K. Hirota, Approximate reasoning by linear rule interpolation and general approximation, Int. J. Approximate Reasoning 9 (1993) 197-225.
4. M. Mizumoto, Multifold fuzzy reasoning as interpolative reasoning, in: R.R. Yager and L.A. Zadeh, Eds., Fuzzy Sets, Neural Networks and Soft Computing (Van Nostrand Reinhold, New York, 1994) 188-193.
5. M. Mizumoto and H.-J. Zimmermann, Comparison of fuzzy reasoning methods, Fuzzy Sets and Systems 8 (1982) 253-283.
6. Y. Shi and M. Mizumoto, Some considerations on Kóczy's interpolative reasoning method, J. Japan Soc. Fuzzy Theory Systems 8 (1996) 147-157.
7. Y. Shi, M. Mizumoto and Z.Q. Wu, The reasoning conditions on Kóczy's interpolative reasoning method in sparse fuzzy rule bases, Fuzzy Sets and Systems 75 (1995) 63-71.
8. L.A. Zadeh, Similarity relations and fuzzy orderings, Inform. Sci. 3 (1971) 177-200.
9. L.A. Zadeh, Calculus of fuzzy restriction, in: L.A. Zadeh et al., Eds., Fuzzy Sets and Their Applications to Cognitive and Decision Processes (Academic Press, New York, 1975) 1-39.