doi: 10.4304/jsw.6.9.1755-1762
A New Fuzzy Risk Analysis Method based on Generalized Fuzzy Numbers
- 1 Key Laboratory of Digital Agricultural Early-warning Technology, Ministry of Agriculture of China, Beijing, China
- 2 Hangzhou Key Lab of E-Business and Information Security, Hangzhou Normal University, Zhejiang, China
- 3 School of Electronics & Information Technology, Shanghai Jiao Tong University, Shanghai, China
- 4 School of Electronics & Information Technology, Northwestern Polytechnical University, Xi’an, 710072, China
- 5 Grain Economics Institute Nanjing University of Finance and Economics, Nanjing, China
- 6 College of computer and information sciences, Southwest University, Chongqing, 400715, China
Abstract
Risk analysis plays an important role in many application systems. The current researches prefer to use fuzzy set theory for risk analysis. In this paper, we present a new fuzzy risk analysis method based on generalized fuzzy numbers. Firstly, we define new arithmetic operations between generalized fuzzy numbers. Then, we propose a new method to measure the degree of similarity between generalized fuzzy numbers. Finally, we apply the new arithmetic operations between generalized fuzzy numbers and proposed similarity measure to develop a new method to deal with fuzzy risk analysis problems. The greatest advantage of the new method is that it has less computational complexity. When dealing with the risk analysis problems, the predominance of new method has been showed: easier and more useful.
Keywords
- risk analysis
- generalized fuzzy numbers
How to Cite
Xiaoyan Su, Wen Jiang, Jianling Xu, Peida Xu, and Yong Deng, "A New Fuzzy Risk Analysis Method based on Generalized Fuzzy Numbers," Journal of Software, vol. 6, no. 9, pp. 1755-1762, 2011. https://doi.org/ 10.4304/jsw.6.9.1755-1762
Copyright & License
Copyright © 2011 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).