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author:

Fu, C. (Fu, C..) [1] | Wang, Y. (Wang, Y..) [2]

Indexed by:

Scopus

Abstract:

In this paper, the concept of interval difference is firstly defined. Then, an interval difference based evidential reasoning approach is proposed to analyze multiple attribute decision making problems in three situations, including (1) unknown attribute weights and utilities of assessment grades, (2) unknown attribute weights, and (3) unknown utilities of assessment grades. Three optimization models are constructed to identify potentially optimal alternatives in the three situations. For each potentially optimal alternative, three pairs of optimization problems are constructed to generate the optimized intervals of attribute weights and utilities of assessment grades or one of them. By using the optimized intervals, the interval difference of potentially optimal alternatives is calculated and used to generate their rank-order. This process is repeated until all alternatives are identified as potentially optimal alternatives. A complete rank-order of all alternatives is then generated. The performance of six executive cars is assessed using the proposed approach to demonstrate its applicability and validity. © 2015 Elsevier Ltd. All rights reserved.

Keyword:

Decision analysis; Evidential reasoning; Interval difference; Multiple attribute decision making; Unknown attribute weights and utilities of assessment grades

Community:

  • [ 1 ] [Fu, C.]School of Management, Hefei University of Technology, Box 270, Hefei, 230009, China
  • [ 2 ] [Fu, C.]Key Laboratory of Process Optimization and Intelligent Decision-Making, Ministry of Education, Box 270, Hefei, 230009, China
  • [ 3 ] [Wang, Y.]School of Public Administration, Fuzhou University, Fuzhou, 350002, China

Reprint 's Address:

  • [Fu, C.]School of Management, Hefei University of Technology, Box 270, China

Email:

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Source :

Computers and Industrial Engineering

ISSN: 0360-8352

Year: 2015

Volume: 81

Page: 109-117

2 . 0 8 6

JCR@2015

6 . 7 0 0

JCR@2023

ESI HC Threshold:175

JCR Journal Grade:1

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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