Fuzzy models of multiple-criteria evaluation and fuzzy classification

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F15%3A33158570" target="_blank" >RIV/61989592:15310/15:33158570 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Fuzzy models of multiple-criteria evaluation and fuzzy classification

Popis výsledku v původním jazyce

The first part of this thesis is devoted to a compact system of fuzzy methods for multiple-criteria evaluation. The basic structure describing the evaluation process is called a goals tree. Both qualitative and quantitative criteria are supported in thissystem. Multiple methods can be used for aggregation of the partial evaluations within the goals tree. The aggregation of partial fuzzy evaluations is done either by one of the fuzzified aggregation operators (fuzzy weighted average, fuzzy OWA operator,fuzzified WOWA operator, or fuzzified Choquet integral) or by a fuzzy expert system. The common feature of all these methods is the used type of evaluation -- the evaluations of alternatives represent the (fuzzy) degrees of fulfillment of the given goals. The second part of the thesis focuses on the topic of fuzzy classification where the division of the objects into the individual classes is described by a fuzzy rule base. The majority of the literature studies mainly various means of

Název v anglickém jazyce

Fuzzy models of multiple-criteria evaluation and fuzzy classification

Popis výsledku anglicky

The first part of this thesis is devoted to a compact system of fuzzy methods for multiple-criteria evaluation. The basic structure describing the evaluation process is called a goals tree. Both qualitative and quantitative criteria are supported in thissystem. Multiple methods can be used for aggregation of the partial evaluations within the goals tree. The aggregation of partial fuzzy evaluations is done either by one of the fuzzified aggregation operators (fuzzy weighted average, fuzzy OWA operator,fuzzified WOWA operator, or fuzzified Choquet integral) or by a fuzzy expert system. The common feature of all these methods is the used type of evaluation -- the evaluations of alternatives represent the (fuzzy) degrees of fulfillment of the given goals. The second part of the thesis focuses on the topic of fuzzy classification where the division of the objects into the individual classes is described by a fuzzy rule base. The majority of the literature studies mainly various means of

Druh

O - Ostatní výsledky

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

2015

Kód důvěrnosti údajů

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