Probabilistic – Fuzzy Knowledge Bases for Diagnostic Systems
نویسنده
چکیده
-In this work we present the methods of creating the knowledge bases by using the theory of fuzzy systems as well as the probability and stochastic processes theory. We show that such knowledge-based systems can be applied in different diagnostic tasks. The structure of the reason-result fuzzy model is predefined by experts at the beginning of the task. The notion of probability of fuzzy events is used to formulate probabilities of the occurrence of the linguistic values of input and output variables. Collected data serve for computing the empirical probability distributions of linguistic variables. The calculated probabilities of fuzzy events have been included into inference procedures. Also, the knowledge base of the stochastic process with fuzzy states is presented and the forecast procedure. Key-Words: Knowledge-based systems, Fuzzy sets, Fuzzy logic reasoning, Probability of fuzzy events, Linguistic random variable
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