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Decision matrices under risk with fuzzy states of the world and underlying discrete fuzzy probability measure

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F17%3A73583404" target="_blank" >RIV/61989592:15310/17:73583404 - isvavai.cz</a>

  • Result on the web

    <a href="http://fim2.uhk.cz/mme/conferenceproceedings/mme2017_conference_proceedings.pdf" target="_blank" >http://fim2.uhk.cz/mme/conferenceproceedings/mme2017_conference_proceedings.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Decision matrices under risk with fuzzy states of the world and underlying discrete fuzzy probability measure

  • Original language description

    The problem of decision-making under risk can be expressed by a decision matrix whose elements express the outcomes if a decision-maker chooses the particular alternative and the particular state of the world occurs. In practice, the states of the world can be described only vaguely. Therefore, in such a case we dealt with the decision matrix with fuzzy states of the world that were modelled by fuzzy sets on the universal set on which the probability distribution is given. However, the underlying probability distribution itself can be known also only vaguely. In such a case it is appropriate to apply a fuzzy probability measure. In the paper, we consider the case where the set of elementary events is finite and the probabilities of elementary events are fuzzy. We compare two approaches to expression of the expected values and the variances of the outcomes of alternatives. The first approach is inspired by the probability of a fuzzy event proposed by Zadeh. The second one is based on treating the decision matrix as a fuzzy rule bases system. We illustrate the problem by a numerical example from economic practice.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10102 - Applied mathematics

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2017

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    35th International Conference Mathematical Methods in Economics MME 2017 Conference Proceedings

  • ISBN

    978-80-7435-678-0

  • ISSN

  • e-ISSN

    neuvedeno

  • Number of pages

    6

  • Pages from-to

    626-631

  • Publisher name

    Gaudeamus

  • Place of publication

    Hradec Králové

  • Event location

    Hradec Králové

  • Event date

    Sep 13, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article