Emergency Alternative Selection Based on an E-IFWA Approach

Abstract

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.