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author:

Ding, Quanyu (Ding, Quanyu.) [1] | Goh, Mark (Goh, Mark.) [2] | Wang, Ying-Ming (Wang, Ying-Ming.) [3] (Scholars:王应明)

Indexed by:

EI SCIE

Abstract:

Emergency responses bear the characteristics of uncertainty and possess multi-attributes in decision making. This paper applies the interval evidential reasoning approach and the interval-valued hesitant fuzzy TODIM (IVHF-TODIM) method to tackle the dynamic emergency decision-making problem. We introduce a function to obtain the gain and loss degrees through the geometric area method. The gain and loss matrices of the interval belief degrees are found probabilistically. A new approach to obtaining the dominance degree matrix is proposed. From the IVHF-TODIM method, the overall dominance degree is established to provide the ranking of the decision alternatives. A recent case of selecting an emergency decision alternative for a large bushfire is used to validate the proposed method, followed by a comparative analysis.

Keyword:

Emergency decision making Interval evidential reasoning Interval-valued hesitant fuzzy sets TODIM

Community:

  • [ 1 ] [Ding, Quanyu]Fuzhou Univ, Decis Sci Inst, Fuzhou 350116, Fujian, Peoples R China
  • [ 2 ] [Wang, Ying-Ming]Fuzhou Univ, Decis Sci Inst, Fuzhou 350116, Fujian, Peoples R China
  • [ 3 ] [Ding, Quanyu]Natl Univ Singapore, NUS Business Sch, Singapore, Singapore
  • [ 4 ] [Goh, Mark]Natl Univ Singapore, NUS Business Sch, Singapore, Singapore
  • [ 5 ] [Ding, Quanyu]Natl Univ Singapore, Logist Inst Asia Pacific, Singapore, Singapore
  • [ 6 ] [Goh, Mark]Natl Univ Singapore, Logist Inst Asia Pacific, Singapore, Singapore
  • [ 7 ] [Wang, Ying-Ming]Fuzhou Univ, Key Lab Spatial Data Min & Informat Sharing, Minist Educ, Fuzhou 350116, Fujian, Peoples R China
  • [ 8 ] [Wang, Ying-Ming]Fuzhou Univ, Sch Econ & Management, Fuzhou 350116, Fujian, Peoples R China

Reprint 's Address:

  • 王应明

    [Wang, Ying-Ming]Fuzhou Univ, Decis Sci Inst, Fuzhou 350116, Fujian, Peoples R China;;[Wang, Ying-Ming]Fuzhou Univ, Key Lab Spatial Data Min & Informat Sharing, Minist Educ, Fuzhou 350116, Fujian, Peoples R China;;[Wang, Ying-Ming]Fuzhou Univ, Sch Econ & Management, Fuzhou 350116, Fujian, Peoples R China

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Source :

SOFT COMPUTING

ISSN: 1432-7643

Year: 2021

Issue: 13

Volume: 25

Page: 8263-8279

3 . 7 3 2

JCR@2021

3 . 1 0 0

JCR@2023

ESI Discipline: COMPUTER SCIENCE;

ESI HC Threshold:106

JCR Journal Grade:2

CAS Journal Grade:3

Cited Count:

WoS CC Cited Count: 18

SCOPUS Cited Count: 18

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 3

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