Please use this identifier to cite or link to this item: http://hdl.handle.net/11452/34571
Title: A psychometric approach to the VIKOR method for eliciting subjective public assessments
Authors: Bursa Uludağ Üniversitesi/Mühendislik Fakültesi/İnşaat Mühendisliği Bölümü.
0000-0003-1313-3091
Arslan, Turan
AAL-9217-2020
8858797200
Keywords: Computer science
Engineering
Telecommunications
Vikor
Weber-fechner law
Multi-attribute value theory
Public subjective opinions
Public decision-making
Decision-making
Webers law
Fuzzy
Alternatives
Framework
Ahp
Decision theory
Multi-attribute value theories
Public decision makings
Public subjective opinions
VIKOR
Weber-Fechner laws
Decision making
Issue Date: 2020
Publisher: IEEE-INST Electrical Electronics Engineers Inc
Citation: Arslan, T. (2020). "A psychometric approach to the VIKOR method for eliciting subjective public assessments". IEEE Access, 8, 54100-54109.
Abstract: Based on the concepts of sensory thresholds, the Weber-Fechner Law in psychology has usually been applied to sensory dimensions. However, some neurophysiological studies have shown that assessment of mental numbers or numerical information also follows this law. Therefore this paper proposes a modification of VIKOR that reflects the Weber-Fechner law to account for nonlinearity in evaluation scales as perceived by decision-makers. The model is applied to a case where public approval of two different types of public bus operation systems considering six criteria is pursued. The results are compared with those obtained from the multi-attribute value method (MAVT). The suggested method inflates the relative attractiveness of the alternatives that are closer to the best solutions (used by VIKOR). A numerical example is also provided to illustrate the applicability of the approach. This method can be a useful tool where public opinions based on subjective perceptions in a public participation process are of particular interest rather than assessing verifiable facts, i.e., observable, measurable data.
URI: https://doi.org/10.1109/ACCESS.2020.2981424
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9039579
http://hdl.handle.net/11452/34571
ISSN: 2169-3536
Appears in Collections:Scopus
Web of Science

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