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Fuzzy Methods of Multiple-Criteria Evaluation and Their Software Implementation

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F12%3A33141812" target="_blank" >RIV/61989592:15310/12:33141812 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.4018/978-1-61350-429-1.ch021" target="_blank" >http://dx.doi.org/10.4018/978-1-61350-429-1.ch021</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.4018/978-1-61350-429-1.ch021" target="_blank" >10.4018/978-1-61350-429-1.ch021</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Fuzzy Methods of Multiple-Criteria Evaluation and Their Software Implementation

  • Original language description

    This chapter describes a system of fuzzy methods designed to solve a broad range of problems in multiple-criteria evaluation, and also their software implementation, FuzzME. A feature common to all the presented methods is the type of evaluation, well suited to the paradigm of fuzzy set theory. All evaluations take on the form of fuzzy numbers, expressing the extent to which goals of evaluation are fulfilled. The system of fuzzy methods is conceived to allow for different types of interaction among criteria of evaluation. Under no interaction, the fuzzy weighted average, fuzzy OWA operator, or WOWA operator are used to aggregate partial evaluations (depending on the evaluator's requirements regarding type of evaluation). If interactions appear as redundancy or complementarity, the fuzzified discrete Choquet integral is the appropriate aggregation operator. Under more complex interactions, the aggregation function is defined through an expertly set base of fuzzy rules.

  • Czech name

  • Czech description

Classification

  • Type

    C - Chapter in a specialist book

  • CEP classification

    BB - Applied statistics, operational research

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2012

  • Confidentiality

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

Data specific for result type

  • Book/collection name

    Cross-Disciplinary Applications of Artificial Intelligence and Pattern Recognition: Advancing Technologies

  • ISBN

    978-1-61350-429-1

  • Number of pages of the result

    24

  • Pages from-to

    388-411

  • Number of pages of the book

    784

  • Publisher name

    IGI Global

  • Place of publication

    Hershey, USA

  • UT code for WoS chapter