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Multiple-Criteria Evaluation in the Fuzzy Environment Using the FuzzME Software

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F16%3A33157127" target="_blank" >RIV/61989592:15310/16:33157127 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-3-319-26986-3_9" target="_blank" >http://dx.doi.org/10.1007/978-3-319-26986-3_9</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-26986-3_9" target="_blank" >10.1007/978-3-319-26986-3_9</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Multiple-Criteria Evaluation in the Fuzzy Environment Using the FuzzME Software

  • Original language description

    This chapter describes a software tool for fuzzy multiple-criteria evaluation called FuzzME. The chapter will show the reader in an easy-to-read style how to apply the software for solving a broad range of fuzzy MCDM problems. The mathematical foundation on which the FuzzME software is built will be described and demonstrated on an example. The FuzzME implements a complete system of fuzzy methods. A common feature oif all these methods is the type of evaluation that is well-suited to the paradigm of fuzzy set theory. All evaluations in the presented models are in the form of fuzzy numbers expressing the extent to which goals of evaluation have been fulfilled. The system of fuzzy methods can deal with different types of interaction among criteria of evaluation. If there is no interaction among criteria, then either fuzzy weighted average, fuzzy OWA operator, or fuzzified WOWA operator is used to aggregate partial evaluations (depending on evaluator's requirements on the type of evaluation). If interactions among criteria are in the form of redundancy or complementarity, then fuzzified discrete Choquet integral is an appropriate aggregation operator. In case of more complex interactions, the aggregation function is described by an expertly defined base of fuzzy rules. The FuzzME also contains additional tools which make it possible to perform analysis of the designed evaluation model and to adjust it easily.

  • 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

    2016

  • Confidentiality

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

Data specific for result type

  • Book/collection name

    Fuzzy Technology

  • ISBN

    978-3-319-26984-9

  • Number of pages of the result

    20

  • Pages from-to

    147-166

  • Number of pages of the book

    225

  • Publisher name

    Springer Basel

  • Place of publication

    Basel

  • UT code for WoS chapter