Likert scales in group multiple-criteria evaluation: a distance-from-ideal based approach

Kód výsledku v IS VaVaI

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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: a distance-from-ideal based approach

Popis výsledku v původním jazyce

Likert scales are a widely used tool for the evaluation and attitude expression in many fields of social science. In this paper we explore their use in multiple-criteria multiexpert 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 to present information and also 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 with respect to the number of criteria and number of evaluators. We propose a distance measure to assess the closeness of the overall evaluation to the ideal. The value of the distance measure can be effectively used in fuzzy-rule-based systems to provide an interpretation extension to the Likert-type evaluation tools. We discuss the possible uses in management and marketing research and in psychological diagnostics.

Název v anglickém jazyce

Likert scales in group multiple-criteria evaluation: a distance-from-ideal based approach

Popis výsledku anglicky

Likert scales are a widely used tool for the evaluation and attitude expression in many fields of social science. In this paper we explore their use in multiple-criteria multiexpert 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 to present information and also 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 with respect to the number of criteria and number of evaluators. We propose a distance measure to assess the closeness of the overall evaluation to the ideal. The value of the distance measure can be effectively used in fuzzy-rule-based systems to provide an interpretation extension to the Likert-type evaluation tools. We discuss the possible uses in management and marketing research and in psychological diagnostics.

Druh

D - Stať ve sborníku

CEP obor

BB - Aplikovaná statistika, operační výzkum

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2016

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the NSAIS'16 Workshop on Adaptive and Intelligent Systems 2016

ISBN

978-952-265-986-6

ISSN

2243-3376

e-ISSN

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Počet stran výsledku

2

Strana od-do

26-27

Název nakladatele

Lappeenranta University of Technology

Místo vydání

Lappeenranta

Místo konání akce

Lappeenranta, Finland

Datum konání akce

16. 8. 2016

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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