Designing fuzzy models of multiple-criteria evaluation in FuzzME Software

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F11%3A10223980" target="_blank" >RIV/61989592:15310/11:10223980 - isvavai.cz</a>

Výsledek na webu

—

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

Designing fuzzy models of multiple-criteria evaluation in FuzzME Software

Popis výsledku v původním jazyce

This paper presents the software product FuzzME that was developed as a tool for creating fuzzy models of multiple-criteria evaluation and decision making. 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 corresponding goals. In FuzzME, a goals tree is the basic structure of evaluation. 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. The choice of the appropriate mode of aggregation depends on the relationships among evaluation criteria. FuzzME allows the utilization of following aggregation methods: fuzzy weighted average, fuzzyOWA operator, fuzzified WOWA operator, fuzzified Choquet integral, and fuzzy expert system. In this paper, all these methods will be described and the conditions for their use will be studied.

Název v anglickém jazyce

Designing fuzzy models of multiple-criteria evaluation in FuzzME Software

Popis výsledku anglicky

This paper presents the software product FuzzME that was developed as a tool for creating fuzzy models of multiple-criteria evaluation and decision making. 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 corresponding goals. In FuzzME, a goals tree is the basic structure of evaluation. 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. The choice of the appropriate mode of aggregation depends on the relationships among evaluation criteria. FuzzME allows the utilization of following aggregation methods: fuzzy weighted average, fuzzyOWA operator, fuzzified WOWA operator, fuzzified Choquet integral, and fuzzy expert system. In this paper, all these methods will be described and the conditions for their use will be studied.

Druh

D - Stať ve sborníku

CEP obor

BB - Aplikovaná statistika, operační výzkum

OECD FORD obor

—

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2011

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the 28th International Conference on Mathematical Methods in Economics 2010, pts I and II

ISBN

978-80-7394-218-2

ISSN

—

e-ISSN

—

Počet stran výsledku

7

Strana od-do

250-256

Název nakladatele

Jihočeská univerzita

Místo vydání

České Budějovice

Místo konání akce

České Budějovice

Datum konání akce

8. 9. 2010

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

—