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

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15210%2F16%3A33159921" target="_blank" >RIV/61989592:15210/16:33159921 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

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

Original language description

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.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

BB - Applied statistics, operational research

OECD FORD branch

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Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2016

Confidentiality

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

Article name in the collection

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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Number of pages

2

Pages from-to

26-27

Publisher name

Lappeenranta University of Technology

Place of publication

Lappeenranta

Event location

Lappeenranta, Finland

Event date

Aug 16, 2016

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

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