Fuzzy Modeling in Stochastic Environment

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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, calculated on the grounds of empirical data. The determination of the procedures of reasoning in consideration of the fuzzy logics and fuzzy sets theory is as important as the discussed creation of the structure of knowledge bases.Some of currently used experts systems, especially in medicine or economics, should have an option of updating their fuzzy knowledge bases on the grounds of the collected data. The approach presented in the monograph is a response to such needs.

Autorentext

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 identification, data analysis, and the applications in technological and managerial situations.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783845410227
    • Sprache Englisch
    • Größe H220mm x B150mm x T9mm
    • Jahr 2011
    • EAN 9783845410227
    • Format Kartonierter Einband
    • ISBN 3845410221
    • Veröffentlichung 15.07.2011
    • Titel Fuzzy Modeling in Stochastic Environment
    • Autor Anna Walaszek-Babiszewska
    • Untertitel Theory, knowledge bases, examples
    • Gewicht 233g
    • Herausgeber LAP LAMBERT Academic Publishing
    • Anzahl Seiten 144
    • Genre Informatik

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