Fuzzy Rule-Based Systems Derived from Similarity to Prototypes
作者： Włodzisław Duch , Marcin Blachnik
DOI: 10.1007/978-3-540-30499-9_140
关键词: Bellman equation 、 Fuzzy rule 、 Artificial intelligence 、 Metric (mathematics) 、 Fuzzy classification 、 Fuzzy logic 、 Knowledge base 、 Probabilistic logic 、 Similarity (network science) 、 Computer science 、 Membership function
摘要: Relations between similarity-based systems, evaluating similarity to some prototypes, and fuzzy rule-based aggregating values of membership functions, are investigated. Fuzzy functions lead new types measures measures, including probabilistic distance that applicable symbolic data, functions. Optimization prototype-based rules is an interesting alternative neurofuzzy systems. As illustration simple found for leukemia gene expression data.
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