期刊
IEEE ACCESS
卷 7, 期 -, 页码 44431-44440出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2019.2908671
关键词
Decision making; emergency alternative selection; fuzzy sets; intuitionistic fuzzy number; weight determination; fuzzy entropy; best-worst method
资金
- Aviation Science Fund of China [2016ZC53028]
- Seed Foundation of Innovation and Creation for Graduate Students in Northwestern Polytechnical University [ZZ2019030]
- National Nature Science Foundation of China [61872297]
With the increasing occurrence frequency of emergency events, how to select the most desirable alternative has been as one of the major issues in emergency management. In this paper, a new method incorporating an extension entropy, Best-Worst method and Intuitionistic fuzzy weighted averaging operator (E-IFWA) is proposed to manage emergency alternative selection. E-IFWA method uses intuitionistic fuzzy number (IFN) to represent incomplete information (fuzzy information and missing information), which can describe the preference of decision-makers more clearly due to its more options. Extension intuitionistic fuzzy entropy is proposed to determine objective weight, and the Best-Worst method (BWM) is adapted to determine subjective weight, hence the objective and subjective combined weight of decision-makers and criteria are considered in this paper. The experiments including a simple example and a case study compared with the existing method illustrate that E-IFWA method is effective and can get a more reasonable result in emergency management.
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