Friday 26th of April 2024
 

A Group Decision Making Methodology for Emergency Decision


Tiejun Cheng, Fengping Wu and Yanping Chen

As the emergency is always unconventional, sudden and complex, it is necessary to invite experts from different fields to make decisions. However, the decision makers are usually hesitant and cannot get hold of the emergency because of the lack of information and knowledge. In this paper, a group decision-making methodology based on intuitionistic fuzzy sets is proposed to solve the emergency group decision-making problem. The intuitionistic fuzzy set that was introduced by Atanassov can consider the degree of membership, the degree of non-membership and hesitant degree. As the preferences of emergency decision makers are usually hesitating and incomplete, the incomplete intuitionistic judgment matrix can be constructed to convey the preferences of decision makers. Considering the known elements of the incomplete intuitionistic judgment matrix, the incomplete preference is estimated according to some principles. Then, the individuals preference is aggregated into the group preference through IFWG operators. According to the results of the proposed method, the best emergency plan can be figured out. Finally, a case in emergency decision making in Jiangsu coastal development is introduced to demonstrate the feasibility and efficiency of the proposed method.

Keywords: Incomplete intuitionistic judgment matrix, Group decision making, Emergency management

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ABOUT THE AUTHORS

Tiejun Cheng
received the M.S. degree in Business school of Hohai University, Nanjing, China, in 2009. She is currently working toward the Ph.D. degree at Hohai University. Her research interests include decision making methods and emergency management.

Fengping Wu
received the Ph.D. degree at Hohai University in 1998. He is a director, full professor in School of Business , Hohai University.

Yanping Chen
received the Ph.D. degree at Hohai University in 2009. Her research interests include decision making methods and water resource management.


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