Similarity based TOPSIS with linguistic-quantifier based aggregation using OWA

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15210%2F21%3A73612052" target="_blank" >RIV/61989592:15210/21:73612052 - isvavai.cz</a>

Výsledek na webu

<a href="https://annals-csis.org/Volume_29/drp/pdf/6.pdf" target="_blank" >https://annals-csis.org/Volume_29/drp/pdf/6.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.15439/2021B6" target="_blank" >10.15439/2021B6</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Similarity based TOPSIS with linguistic-quantifier based aggregation using OWA

Popis výsledku v původním jazyce

In this paper we present similarity based TOPSIS with OWA operators. The motivation behind this new method is the fact that in many real world problems it is more important to consider the amount of criteria that a particular alternative isable to satisfy instead of simply concentrating on the importanceof particular criteria. Here with OWA operators we can tackle this problem together with multi-criteria decision making method called TOPSIS by aggregating alternatives&apos; similarities towards positive ideal solution and negative ideal solution and aggregating these similarities using OWA. The use of linguistic quantifiers represented by OWA weights generated by a selected RIM quantifier allows for the reflection of decision-maker&apos;s attitude to risk in the calculation of the similarities of the alternative with positive and negative ideal solutions.

Název v anglickém jazyce

Similarity based TOPSIS with linguistic-quantifier based aggregation using OWA

Popis výsledku anglicky

In this paper we present similarity based TOPSIS with OWA operators. The motivation behind this new method is the fact that in many real world problems it is more important to consider the amount of criteria that a particular alternative isable to satisfy instead of simply concentrating on the importanceof particular criteria. Here with OWA operators we can tackle this problem together with multi-criteria decision making method called TOPSIS by aggregating alternatives&apos; similarities towards positive ideal solution and negative ideal solution and aggregating these similarities using OWA. The use of linguistic quantifiers represented by OWA weights generated by a selected RIM quantifier allows for the reflection of decision-maker&apos;s attitude to risk in the calculation of the similarities of the alternative with positive and negative ideal solutions.

Druh

J_ost - Ostatní články v recenzovaných periodicích

CEP obor

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OECD FORD obor

50204 - Business and management

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2021

Kód důvěrnosti údajů

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

Název periodika

Annals of Computer Science and Information Systems

ISSN

2300-5963

e-ISSN

—

Svazek periodika

29

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

PL - Polská republika

Počet stran výsledku

7

Strana od-do

45-51

Kód UT WoS článku

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EID výsledku v databázi Scopus

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