Rough Sets in the Neuro-Fuzzy Architectures Based on Monotonic Fuzzy Implications
作者： Robert Nowicki
DOI: 10.1007/978-3-540-24844-6_76
关键词: Fuzzy subalgebra 、 Rough set 、 Type-2 fuzzy sets and systems 、 Fuzzy logic 、 Fuzzy number 、 Fuzzy classification 、 Artificial intelligence 、 Fuzzy control system 、 Fuzzy set operations 、 Fuzzy set 、 Computer science 、 Neuro-fuzzy 、 Fuzzy associative matrix 、 Fuzzy mathematics 、 Membership function 、 Defuzzification
摘要: In this paper we presented a general solution to compose rough-neuro-fuzzy architectures. Monotonic properties of fuzzy implications were assumed derive systems in the case missing features. The satisfying Fodor’s lemma used logical approach and t-norms Mamdani are discussed.
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