Fuzzified Likert scales in group multiple-criteria evaluation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15210%2F18%3A73581261" target="_blank" >RIV/61989592:15210/18:73581261 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-60207-3_11" target="_blank" >http://dx.doi.org/10.1007/978-3-319-60207-3_11</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-60207-3_11" target="_blank" >10.1007/978-3-319-60207-3_11</a>
Alternative languages
Result language
angličtina
Original language name
Fuzzified Likert scales in group multiple-criteria evaluation
Original language description
Likert scales have been in use since 1930s as tool for attitude expression in many fields of social science. Recently there have even been several attempts for the fuzzification of this instrument. In this chapter we explore the possibility of their use in multiple-criteria multi-expert evaluation.We focus on discrete fuzzy Likert scales, that are a generalization of the standard Likert scales. We propose a methodology that deals with the non-uniformity of the distribution of linguistic labels along the underlying ordinal evaluation scale and also with possible response bias.We also consider the analogy of Likert scales (crisp and fuzzy) on continuous universes. Likert-type evaluations of an alternative with respect to various criteria are represented using histograms. Histograms are also used to aggregate the Likert- type evaluations. 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 the proposed methodology in multiple-criteria multi-expert evaluation.
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
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OECD FORD branch
50202 - Applied Economics, Econometrics
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
Soft Computing Applications for Group Decision-making and Consensus Modeling
ISBN
978-3-319-60206-6
Number of pages of the result
21
Pages from-to
165-185
Number of pages of the book
488
Publisher name
Springer International Publishing AG
Place of publication
Cham
UT code for WoS chapter
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