A4 Conference proceedings

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


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Publication Details
Authors: Stoklasa Jan, Talášek Tomáš, Kubátová Jaroslava, Seitlová Klára
Publication year: 2016
Language: English
Related Journal or Series Information: LUT Scientific and Expertise Publications : Tutkimusraportit - Research reports
Title of parent publication: Proceedings of the NSAIS’16 Workshop on Adaptive and Intelligent Systems 2016
Start page: 26
End page: 27
Number of pages: 2
ISBN: 978-952-265-985-9
eISBN: 978-952-265-986-6
ISSN: 2243-3376
JUFO-Level of this publication: 0
Open Access: Open Access publication

Abstract
Likert scales are a widely used tool for the evaluationand attitude expression in many fields of social science.In this paper we explore their use in multiple-criteria multiexpertevaluation. We propose a methodology that deals with thenon-uniformity of the distribution of linguistic labels along theevaluation universe and also with possible response bias (centraltendency and extreme-response tendency). The methodology representsthe Likert-type evaluations of an alternative with respectto various criteria using histograms. Histograms are used topresent information and also in the process of aggregation ofinformation, since the underlying evaluation scale is ordinal. Atransformation of the multi-expert multiple-criteria evaluationrepresented by a histogram into a 3-bin histogram to controlfor the response bias is performed and an ideal-evaluation 3-binhistogram is defined with respect to the number of criteria andnumber of evaluators. We propose a distance measure to assessthe closeness of the overall evaluation to the ideal. The value ofthe distance measure can be effectively used in fuzzy-rule-basedsystems to provide an interpretation extension to the Likert-typeevaluation tools. We discuss the possible uses in management andmarketing research and in psychological diagnostics.

Last updated on 2018-19-10 at 08:49