Likert Scales in Group Multiple-Criteria Evaluation

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15210%2F17%3A73582219" target="_blank" >RIV/61989592:15210/17:73582219 - 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

Likert Scales in Group Multiple-Criteria Evaluation

Popis výsledku v původním jazyce

Likert scales are a widely used tool for attitude expression in many fields of social science. In this paper we explore their use in multiple-criteria multi-expert evaluation. We propose a methodology that deals with the non-uniformity of the distribution of linguistic labels along the evaluation universe and also with possible response bias (central tendency and extreme-response tendency). The methodology represents the Likert-type evaluations of an alternative with respect to various criteria using histograms. Histograms are used in the process of aggregation of information, since the underlying evaluation scale is ordinal. A transformation of the multi-expert multiple-criteria evaluation represented by a histogram into a 3-bin histogram to control for the response bias is performed and an ideal-evaluation 3-bin histogram is defined. We propose a distance measure to assess the closeness of the overall evaluation to the ideal and suggest the use of its values interpretation/evaluation fuzzy rules.

Název v anglickém jazyce

Likert Scales in Group Multiple-Criteria Evaluation

Popis výsledku anglicky

Likert scales are a widely used tool for attitude expression in many fields of social science. In this paper we explore their use in multiple-criteria multi-expert evaluation. We propose a methodology that deals with the non-uniformity of the distribution of linguistic labels along the evaluation universe and also with possible response bias (central tendency and extreme-response tendency). The methodology represents the Likert-type evaluations of an alternative with respect to various criteria using histograms. Histograms are used in the process of aggregation of information, since the underlying evaluation scale is ordinal. A transformation of the multi-expert multiple-criteria evaluation represented by a histogram into a 3-bin histogram to control for the response bias is performed and an ideal-evaluation 3-bin histogram is defined. We propose a distance measure to assess the closeness of the overall evaluation to the ideal and suggest the use of its values interpretation/evaluation fuzzy rules.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

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OECD FORD obor

50202 - Applied Economics, Econometrics

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2017

Kód důvěrnosti údajů

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

Název periodika

Journal of Multiple-Valued Logic and Soft Computing

ISSN

1542-3980

e-ISSN

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Svazek periodika

29

Číslo periodika v rámci svazku

5

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

16

Strana od-do

425-440

Kód UT WoS článku

000415668000003

EID výsledku v databázi Scopus

2-s2.0-85021679580