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author:

Li, D.-F. (Li, D.-F..) [1] | Huang, Z.-G. (Huang, Z.-G..) [2] | Chen, G.-H. (Chen, G.-H..) [3]

Indexed by:

Scopus

Abstract:

Heterogeneous multiattribute group decision making (MAGDM) problems which involve multi-granularity linguistic labels, fuzzy numbers, interval numbers and real numbers are very complex and important in practical applications of decision making theory. Hitherto, there exists no general theoretical inducement for solving such problems. The purpose of this paper is to develop a systematic methodology for solving the heterogeneous MAGDM problems by introducing the multiattribute ranking index based on the particular measure of closeness to the positive ideal solution (PIS) and using the weighted Minkowski distance to measure differences between each alternative and the PIS as well as the negative ideal solution (NIS). The proposed methodology is shown to have some advantages over the fuzzy TOPSIS. Validity and applicability of the methodology proposed in this paper is illustrated with a real example of the missile weapon system selection problem. © 2010 Elsevier Ltd. All rights reserved.

Keyword:

Heterogeneous information; Linguistic variable; Mathematical programming; Multiattribute group decision making; Weapon system selection

Community:

  • [ 1 ] [Li, D.-F.]School of Management, Fuzhou University, No. 523, Industry Road, Fuzhou 350108, Fujian, China
  • [ 2 ] [Huang, Z.-G.]School of Management, Fuzhou University, No. 523, Industry Road, Fuzhou 350108, Fujian, China
  • [ 3 ] [Chen, G.-H.]School of Management, Fuzhou University, No. 523, Industry Road, Fuzhou 350108, Fujian, China

Reprint 's Address:

  • [Li, D.-F.]School of Management, Fuzhou University, No. 523, Industry Road, Fuzhou 350108, Fujian, China

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Source :

Computers and Industrial Engineering

ISSN: 0360-8352

Year: 2010

Issue: 4

Volume: 59

Page: 561-572

1 . 5 4 3

JCR@2010

6 . 7 0 0

JCR@2023

JCR Journal Grade:2

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: 2

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