Fuzzified weighted OWA (FWOWA) operator

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F15%3A33157119" target="_blank" >RIV/61989592:15310/15:33157119 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.naun.org/main/NAUN/mcs/2015/a562002-063.pdf" target="_blank" >http://www.naun.org/main/NAUN/mcs/2015/a562002-063.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Fuzzified weighted OWA (FWOWA) operator

Popis výsledku v původním jazyce

In practice, it is often necessary to combine information from different sources. For this task, one of aggregation operators can be used. Probably the best-known of them are the weighted average and the OWA (ordered weighted average) operator. The weighted average makes it possible to assign importances to the individual information sources. On the other hand, with the OWA operator, the importances are assigned to the aggregated values according to their order. In cases when we need to combine these two approaches, the weighted OWA (WOWA) operator can be used. The situation when the aggregated values are not known precisely is very common in the practice. That is why fuzzified versions of various aggregation operators begun to emerge. In this paper, afuzzified WOWA operator, which can aggregate values expressed by fuzzy numbers, will be presented. The version studied in this paper is based on Zadeh's extension principle. The behavior of the presented fuzzified WOWA operator will be d

Název v anglickém jazyce

Fuzzified weighted OWA (FWOWA) operator

Popis výsledku anglicky

In practice, it is often necessary to combine information from different sources. For this task, one of aggregation operators can be used. Probably the best-known of them are the weighted average and the OWA (ordered weighted average) operator. The weighted average makes it possible to assign importances to the individual information sources. On the other hand, with the OWA operator, the importances are assigned to the aggregated values according to their order. In cases when we need to combine these two approaches, the weighted OWA (WOWA) operator can be used. The situation when the aggregated values are not known precisely is very common in the practice. That is why fuzzified versions of various aggregation operators begun to emerge. In this paper, afuzzified WOWA operator, which can aggregate values expressed by fuzzy numbers, will be presented. The version studied in this paper is based on Zadeh's extension principle. The behavior of the presented fuzzified WOWA operator will be d

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

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

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Název periodika

International Journal of Mathematics and Computers in Simulation

ISSN

1998-0159

e-ISSN

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Svazek periodika

9

Číslo periodika v rámci svazku

DEC

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

9

Strana od-do

213-221

Kód UT WoS článku

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EID výsledku v databázi Scopus

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