A new approach for hybrid multi-attribute variable weight decision making with decision maker’s behavioral character

Article type: Research Article

Authors: Zeng, Xiang-Tian^a | Yu, Gao-Feng^{b; *} | Wu, Jian^a

Affiliations: [a] School of Economics and Management, Sanming University, Sanming, Fujian, China | [b] School of Information Engineering, Sanming University, Sanming, Fujian, China

Correspondence: [*] Corresponding author. Gao-Feng Yu, School of Information Engineering, Sanming University, Sanming, Fujian 365004, China. Tel./Fax: +86 0591 87892973; E-mail: [email protected].

Abstract: In this paper, we present a newly developed methodology for solving hybrid multi-attribute decision making (HMADM) problems with multiple types of attribute values (MTAVs) by introducing the satisfaction degrees of alternatives’ closeness to the positive ideal solution for the decision maker (DM) and a compromise-typed variable weight decision method, where the weights of attributes are related to the satisfaction degrees of MTAVs and the DM’s behavior characteristics. An example is presented to show the application of the decision process and a detailed comparison analysis is provided to show the applicability and validity of the method proposed.

Keywords: Multiple attribute decision making, variable weight decision method, prospect theory, multiple types of attribute values

DOI: 10.3233/JIFS-182539

Journal: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 6, pp. 7737-7746, 2019