[PDF.38hi] Fuzzy Modeling in Stochastic Environment: Theory, knowledge bases, examples
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Fuzzy Modeling in Stochastic Environment: Theory, knowledge bases, examples
Anna Walaszek-Babiszewska
[PDF.hm53] Fuzzy Modeling in Stochastic Environment: Theory, knowledge bases, examples
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| #15311384 in Books | 2011-07-15 | Original language:English | PDF # 1 | 8.66 x.33 x5.91l,.49 | File type: PDF | 144 pages||About the Author|Anna Walaszek-Babiszewska, at present, is a professor at the Opole University of Technology, in Poland. Her research interests include: methods of artificial intelligence, knowledge-based systems, stochastic and fuzzy modeling, systems identifi
The fuzzy sets theory as a tool for modeling offers approximations of imprecisely formulate dependencies, values of variables, functions, and the values of truth. The probability theory and stochastic processes used for fuzzy events enables the determination of the probability of imprecise random events, linguistic random variables or stochastic processes with fuzzy states. In practical modeling, probability is represented by the frequency of applicable fuzzy events, c...
You can specify the type of files you want, for your gadget.Fuzzy Modeling in Stochastic Environment: Theory, knowledge bases, examples | Anna Walaszek-Babiszewska. I have read it a couple of times and even shared with my family members. Really good. Couldnt put it down.