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author:

Zhang, M.-J. (Zhang, M.-J..) [1] | Wang, Y.-M. (Wang, Y.-M..) [2] | Chen, S.-Q. (Chen, S.-Q..) [3] | Li, K. (Li, K..) [4]

Indexed by:

Scopus PKU CSCD

Abstract:

Aiming at the uncertainty and preference reversal in practical decision making problems, an approach for multiattribute decision making under interval uncertainty is proposed. The interval assessments are integrated by the evidential reasoning. Then the prospect value of each alternative is worked out by using cumulative prospect theory, substituting for the subjective expected utility theory, to handle with preference reversal in possibility under uncertainty, and the interval possibility degree is used to order all alternatives. The process of decision making is provided, and a pair of nonlinear programming models is built up to calculate the overall prospect value of each alternatives. An example is given to illustrate the feasibility, rationality and effectiveness of the proposed approach. © 2016, Editorial Office of Control and Decision. All right reserved.

Keyword:

Cumulative prospect theory; Evidential reasoning; Interval uncertainty; Multiple attribute decision making; Preference reversal

Community:

  • [ 1 ] [Zhang, M.-J.]Institute of Decision Sciences, Fuzhou University, Fuzhou, 350116, China
  • [ 2 ] [Zhang, M.-J.]College of Electrionic and Information Science, Fujian Jiangxia University, Fuzhou, 350108, China
  • [ 3 ] [Wang, Y.-M.]Institute of Decision Sciences, Fuzhou University, Fuzhou, 350116, China
  • [ 4 ] [Chen, S.-Q.]College of Electrionic and Information Science, Fujian Jiangxia University, Fuzhou, 350108, China
  • [ 5 ] [Li, K.]College of Electrionic and Information Science, Fujian Jiangxia University, Fuzhou, 350108, China

Reprint 's Address:

  • [Wang, Y.-M.]Institute of Decision Sciences, Fuzhou UniversityChina

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Source :

Control and Decision

ISSN: 1001-0920

Year: 2016

Issue: 11

Volume: 31

Page: 2019-2024

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 4

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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