Optimization schemes for decomposition of fuzzy relations

Fuzzy Sets and Systems

Volumn 100, Issue 1-3, 1998, Pages 301-325

  Pedrycz, Witold ^a  

^a UNIVERSITY OF MANITOBA   (Canada)

Author keywords

Decomposition; Fuzzy interpolation; Fuzzy relations; Learning; Multilevel fuzzy neural networks; Network representation; Optimization; Pattern recognition

Indexed keywords

EID: 16344385655     PISSN: 01650114     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0165-0114(97)00151-6     Document Type: Article

References (7)

1. J.C. Bezdek, Pattern Recognition with Fuzzy Objective Function Algorithms, Plenum Press, New York, 1981.
2. A. Di Nola, W. Pedrycz, S. Sessa, Minimal and maximal solutions of a decomposition problem of fuzzy relations. Internat. J. Gen. Systems 11 (1985) 103-112.
3. A. Di Nola, W. Pedrycz, S. Sessa, Decomposition problem of fuzzy relation, Internat. J. Gen. Systems 10 (1985) 123-133.
4. A. Di Nola, W. Pedrycz, S. Sessa, When is a fuzzy relation decomposable into fuzzy sets. Fuzzy Sets and Systems 16 (1985) 87-90.
5. A. Di Nola, W. Pedrycz, S. Sessa, M. Higashi, Maximal and minimal solutions of decomposition problem of fuzzy relation equations with generalized connectives. Internat. J. Gen. Systems 2 (1985) 103-116.
6. A. Di Nola, S. Sessa, W. Pedrycz, E. Sanchez, Fuzzy Relational Equations and Their Applications in Knowledge Engineering, Kluwer, Dordrecht, 1989.
7. L.A. Feldkamp, G.V. Puskorius, F. Yuan, L.I. David, Jr., Architecture and training of a hybrid neural - fuzzy system, in: Proc. 2nd Internat. Conf. on Fuzzy Logic and Neural Networks, Iizuka, Japan, 1992, pp. 131-134.