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UNCERTAIN COMPUTATION-BASED DECISION THEORY


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Sinopse

Uncertain computation is a system of computation and reasoning in which the objects of computation are not values of variables but restrictions on values of variables. This compendium includes uncertain computation examples based on interval arithmetic, probabilistic arithmetic, fuzzy arithmetic, Z-number arithmetic, and arithmetic with geometric primitives. The principal problem with the existing decision theories is that they do not have capabilities to deal with such environment. Up to now, no books where decision theories based on all generalizations level of information are considered. Thus, this self-containing volume intends to overcome this gap between real-world settings' decisions and their formal analysis. Contents: Decision Environment Analysis of the Existing Decision Theories Interval Computation Probabilistic Arithmetic Fuzzy Type-1 and Fuzzy Type-2 Computations Computation with Z-Numbers Computation with U-Numbers Fuzzy Geometry Based Computations Interval Granular-Based Decision Making Decision Making in Fuzzy Environment The Z-Restriction Centered Decision Theory Simulation and Applications Readership: Researchers, academics, professionals and graduate students in fuzzy logic, decision sciences and mathematical economics.

Detalhes do Produto

    • Ano de Edição: 2017
    • Ano:  2017
    • País de Produção: Canada
    • Código de Barras:  2001120994420
    • ISBN:  9789813228955

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