Title :
A risk ranking method based on intuitionistic fuzzy group decision-making model in the process of risk management in equipment projects
Author :
Li Xiaocui ; Wang Wei ; Zhang Guanhong ; Pan Qunli
Author_Institution :
Dept. of Reliability & Syst. Eng., Beihang Univ., Beijing, China
Abstract :
Focus on the risk management for the modern weapon equipment development projects, the intuitionistic fuzzy group decision-making ranking process is proposed in this paper to achieve a further risk ranking for the risks with the same risk exponent, making the ranking results more accurate and scientific. In this process, assessments are made on the risks´ occurring possibility and the consequences severity and a risk index system is established. The intuitionistic fuzzy set is used to indicate the experts´ assessments and the expert weight factor is involved in the process to make a different for each expert´s affection. Throughout the process, the TOPSIS is used to achieve the risk ranking. In the final part of this paper, we implemented this process to do the risk ranking for a project and proved that this model is available, scientific and rational.
Keywords :
TOPSIS; decision making; defence industry; fuzzy set theory; risk management; weapons; TOPSIS; equipment projects; expert weight factor; intuitionistic fuzzy group decision-making model; intuitionistic fuzzy set; risk exponent; risk index system; risk management; risk ranking; risk ranking method; weapon equipment development projects; Decision making; Educational institutions; Indexes; Raw materials; Risk management; Software; Systems engineering and theory; TOPSIS; group decision-making; intuitionistic fuzzy set(IFS); risk ranking;
Conference_Titel :
Prognostics and System Health Management Conference (PHM-2014 Hunan), 2014
Conference_Location :
Zhangiiaijie
Print_ISBN :
978-1-4799-7957-8
DOI :
10.1109/PHM.2014.6988207