Fuzzy Risk Analysis Vs. Probability Risk Analysis

Author(s):  
Chongfu Huang
2013 ◽  
Vol 397-400 ◽  
pp. 696-699
Author(s):  
Peng Fei Li ◽  
Mao Xiang Lang

Firstly, the consequence of the accident was divided into several ranks. Then we can get the risk fund by the fuzzy risk analysis. Secondly, the stochastic number of every route was produced by the computer, and then the risk of every section can be got. Thirdly, the shortest route theory can be used to get the minimum risk routes. The rationality of the model and the feasibility of the algorithm are proved by the computation and analysis of the example.


2019 ◽  
Vol 13 (2) ◽  
pp. 147-158
Author(s):  
Yan Yang ◽  
Xin Liu ◽  
Mengchuan Zhao

Author(s):  
Ahmad Syafadhli Abu Bakar ◽  
Ku Muhammad Naim Ku Khalif ◽  
Abdul Malek Yaakob ◽  
Alexander Gegov ◽  
Ahmad Zaki Mohamad Amin

2012 ◽  
Vol 39 (7) ◽  
pp. 6320-6334 ◽  
Author(s):  
Shyi-Ming Chen ◽  
Abdul Munif ◽  
Guey-Shya Chen ◽  
Hsiang-Chuan Liu ◽  
Bor-Chen Kuo

2013 ◽  
Vol 2013 ◽  
pp. 1-14 ◽  
Author(s):  
Rasoul Saneifard ◽  
Rahim Saneifard

This paper presents a new method for evaluating the efficiency of school preceptors based on fuzzy number arithmetic operations. It uses fuzzy numbers to represent fuzzy grades. The fuzzy weights of criteria are automatically generated from the opinions of evaluators. The simplified fuzzy number arithmetic operations are used for calculating the average of fuzzy numbers. It can evaluate the efficiency of school preceptors in a more flexible and more intelligent manner.


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