A Hybrid Decision-Making Framework for Selecting the Emergency Alternatives

The frequent occurrence of emergencies has created huge economic losses and numerous casualties and has seriously affected the sustainable development of many societies. The abruptness, destructiveness, unpredictability and complexity of emergency situations pose a great challenge in implementing ap...

Full description

Saved in:
Bibliographic Details
Published inInternational journal of fuzzy systems Vol. 25; no. 5; pp. 2123 - 2137
Main Authors Fei, Liguo, Ma, Yongchi
Format Journal Article
LanguageEnglish
Published Berlin/Heidelberg Springer Berlin Heidelberg 01.07.2023
Springer Nature B.V
Subjects
Alternatives
Artificial Intelligence
Casualties
Computational Intelligence
Decision making
Decision theory
Economic impact
Emergency communications systems
Emergency plans
Emergency preparedness
Emergency response
Engineering
Fuzzy logic
Fuzzy sets
Linguistics
Management Science
Operations Research
Sustainable development
Variables
Intuitionistic fuzzy sets
Emergency alternative selection
Linguistic variables
MADM
Hybrid information
Online AccessGet full text

Cover

More Information
Summary:The frequent occurrence of emergencies has created huge economic losses and numerous casualties and has seriously affected the sustainable development of many societies. The abruptness, destructiveness, unpredictability and complexity of emergency situations pose a great challenge in implementing appropriate responses. To effectively respond to emergencies, it is necessary to select the most suitable, or several, of the numerous emergency plan alternatives, especially when the evolutionary direction of the emergency is highly uncertain. Some progress has been made in the study of emergency alternative selection (EAS) but the capacity for emergency decision-making in real disasters is still quite limited. Therefore, more in-depth research is necessary. As a remedy to the EAS problems, such as unitary information expression, inflexible decision-making processes and insufficient attention to uncertainty, this study proposes a hybrid decision-making method that considers an intuitionistic fuzzy environment, linguistic environment and their hybrid environment, and implements the conversion and processing of decision-making information in different environments based on the Dempster–Shafer theory (DST). This model provides a more flexible evaluation method for decision-makers, and provides a complete decision-making process for EAS. A flood disaster case study from China is used to demonstrate and verify the effectiveness of the proposed model.
ISSN:1562-2479
2199-3211
DOI:10.1007/s40815-023-01467-4