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The authors present a model building technique which combines the strength of the fuzzy set theory and the neural network based structures. This technique can simultaneously deal with two types of knowledge, a nonfuzzy one and a fuzzy one, which usually describe the behavior of complex processes. The proposed method can also be directly applied to the construction of a new type of intelligent fuzzy controller. Some aspects of the adequacy of this fuzzy neuro-computational model are also discussed. A numerical example is provided
Published in:
Neural Networks, 1991. 1991 IEEE International Joint Conference on
Date of Conference: 18-21 Nov 1991
- Page(s):
- 1454 - 1457 vol.2
- Meeting Date :
- 18 Nov 1991-21 Nov 1991
- Print ISBN:
- 0-7803-0227-3
- INSPEC Accession Number:
- 4269640
- Digital Object Identifier :
- 10.1109/IJCNN.1991.170604
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