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Fuzzy Probability Spaces in Decision-Making under Risk

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F05%3A00010104" target="_blank" >RIV/61989592:15310/05:00010104 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Fuzzy Probability Spaces in Decision-Making under Risk

  • Original language description

    In this paper, two types of fuzzy probability spaces will be introduced and their possible applications in methods of decision-making under risk will be described. First, a fuzzy probability space that generalizes the classical probability space to the situation of fuzzy random events will be studied. It can be applied e.g. when given continuous probability distributions of risk factors are to be approximated by discrete ones. Second, a fuzzy probability space that enables an adequate mathematical modelling of expertly set uncertain probabilities of elementary events will be defined. Its application in fuzzy decision matrices will be shown.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    BB - Applied statistics, operational research

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2005

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the 23rd International Conference Mathematical Methods in Economics 2005

  • ISBN

    80-7041-535-5

  • ISSN

  • e-ISSN

  • Number of pages

    440

  • Pages from-to

  • Publisher name

    Gaudeamus

  • Place of publication

    Hradec Králové

  • Event location

  • Event date

  • Type of event by nationality

  • UT code for WoS article