Multiple-Criteria Fuzzy Evaluation in FuzzME - Transitions Between Different Aggregation Operators

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F14%3A33149539" target="_blank" >RIV/61989592:15310/14:33149539 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.mme2014.upol.cz/downloads/MME_2014_Proceedings.pdf" target="_blank" >http://www.mme2014.upol.cz/downloads/MME_2014_Proceedings.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Multiple-Criteria Fuzzy Evaluation in FuzzME - Transitions Between Different Aggregation Operators

Popis výsledku v původním jazyce

The FuzzME is a software tool for multiple-criteria fuzzy evaluation. The type of evaluation employed in the fuzzy models fully agrees with the paradigm of the fuzzy set theory; the evaluations express the (fuzzy) degrees of fulfillment of the corresponding goals. The basic structure used for the evaluation is called a goals tree. Within the goals tree, the aggregation of partial fuzzy evaluations is done either by one of fuzzified aggregation operators or by a fuzzy expert system. In the FuzzME, the following aggregation methods are supported: fuzzy weighted average, fuzzy OWA operator, fuzzified WOWA operator, fuzzified discrete Choquet integral, and fuzzy expert system. The comprehensive description of the methods and their use in FuzzME has been published. The paper contains a brief description of the methods. The main part of the paper studies the situation when it turns out that the relationship among the criteria is more complex than it was expected. In this case, it would be fa

Název v anglickém jazyce

Multiple-Criteria Fuzzy Evaluation in FuzzME - Transitions Between Different Aggregation Operators

Popis výsledku anglicky

The FuzzME is a software tool for multiple-criteria fuzzy evaluation. The type of evaluation employed in the fuzzy models fully agrees with the paradigm of the fuzzy set theory; the evaluations express the (fuzzy) degrees of fulfillment of the corresponding goals. The basic structure used for the evaluation is called a goals tree. Within the goals tree, the aggregation of partial fuzzy evaluations is done either by one of fuzzified aggregation operators or by a fuzzy expert system. In the FuzzME, the following aggregation methods are supported: fuzzy weighted average, fuzzy OWA operator, fuzzified WOWA operator, fuzzified discrete Choquet integral, and fuzzy expert system. The comprehensive description of the methods and their use in FuzzME has been published. The paper contains a brief description of the methods. The main part of the paper studies the situation when it turns out that the relationship among the criteria is more complex than it was expected. In this case, it would be fa

Druh

D - Stať ve sborníku

CEP obor

BB - Aplikovaná statistika, operační výzkum

OECD FORD obor

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Projekt

<a href="/cs/project/GA14-02424S" target="_blank" >GA14-02424S: Metody operačního výzkumu pro podporu rozhodování v podmínkách neurčitosti</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2014

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the 32nd International Conference on Mathematical Methods in Economics MME 2014

ISBN

978-80-244-4209-9

ISSN

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e-ISSN

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Počet stran výsledku

6

Strana od-do

305-310

Název nakladatele

Univerzita Palackého

Místo vydání

Olomouc

Místo konání akce

Olomouc

Datum konání akce

10. 9. 2014

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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