China Safety Science Journal ›› 2018, Vol. 28 ›› Issue (9): 183-188.doi: 10.16265/j.cnki.issn1003-3033.2018.09.031

• Public Safety • Previous Articles     Next Articles

Application of interval intuitionistic fuzzy and evidence reasoning in location selection of emergency logistics facilities

GU Lingling, GENG Xiuli   

  1. Business School, University of Shanghai for Science of Technology, Shanghai 200093, China
  • Received:2018-06-11 Revised:2018-08-09 Online:2018-09-28 Published:2020-09-28

Abstract: In order to solve the problem of emergency logistics facility location under uncertain conditions, an IIF-ER based model combining was built. For building the model, the interval intuitionistic fuzzy value (IIFV) was used to express the expert evaluation information in view of the uncertainty of index evaluation. Considering that the traditional IIF has the problem of information loss in information integration, the method of ER integration was used to integrate the evaluation information. The method of TOPSIS was used to sort the location of emergency logistics facilities. Finally, an example of establishing emergency logistics facilities in a certain city was given to verify the effectiveness of the model. The results show that the model can be used to solve the problem of emergency logistics facility location decision under uncertain conditions, at the same time, it can ensure the quality of decision-making and shorten the decision time.

Key words: emergency logistics, facility location, interval intuitionistic fuzzy(IIF), evidence reasoning (ER), technique for order preference by similarity to ideal solution (TOPSIS)

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