Multiple-Criteria Fuzzy Evaluation: The FuzzME Software Package

Kód výsledku v IS VaVaI

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Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Multiple-Criteria Fuzzy Evaluation: The FuzzME Software Package

Popis výsledku v původním jazyce

This paper introduces a new software product FuzzME. It was developed as a tool for creating fuzzy models of multiple-criteria evaluation and decision making. The type of evaluations employed in the fuzzy models fully corresponds with the paradigm of thefuzzy set theory; the evaluations express the (fuzzy) degrees of fulfillment of corresponding goals. The FuzzME software takes advantage of linguistic fuzzy modeling to the maximum extent. In the FuzzME software, both quantitative and qualitative criteria can be used. The basic structure of evaluation is described by a goals tree. Within the goals tree, aggregation of partial fuzzy evaluations is done either by one of fuzzified aggregation operators (fuzzy weighted average, ordered fuzzy weighted average) or by a fuzzy expert system. The paper contains an illustrative example of the software usage. The application concerns a soft-fact-rating problem that was solved in one of Austrian banks.

Název v anglickém jazyce

Multiple-Criteria Fuzzy Evaluation: The FuzzME Software Package

Popis výsledku anglicky

This paper introduces a new software product FuzzME. It was developed as a tool for creating fuzzy models of multiple-criteria evaluation and decision making. The type of evaluations employed in the fuzzy models fully corresponds with the paradigm of thefuzzy set theory; the evaluations express the (fuzzy) degrees of fulfillment of corresponding goals. The FuzzME software takes advantage of linguistic fuzzy modeling to the maximum extent. In the FuzzME software, both quantitative and qualitative criteria can be used. The basic structure of evaluation is described by a goals tree. Within the goals tree, aggregation of partial fuzzy evaluations is done either by one of fuzzified aggregation operators (fuzzy weighted average, ordered fuzzy weighted average) or by a fuzzy expert system. The paper contains an illustrative example of the software usage. The application concerns a soft-fact-rating problem that was solved in one of Austrian banks.

Druh

D - Stať ve sborníku

CEP obor

BB - Aplikovaná statistika, operační výzkum

OECD FORD obor

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Projekt

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Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2009

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference

ISBN

978-989-95079-6-8

ISSN

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e-ISSN

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Počet stran výsledku

1887

Strana od-do

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Název nakladatele

International Fuzzy Systems Association, European Society for Fuzzy Logic and Technology

Místo vydání

Lisbon, Portugal

Místo konání akce

Lisbon, Portugal

Datum konání akce

20. 7. 2009

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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