The Use of Fuzzy Mathematics of Finance: Risk Evaluation in Petroleum Development

2001 ◽  
Author(s):  
Antônio Orestes de Salvo Castro ◽  
Virgilio Jose Martins Fereira Filho
Keyword(s):  
Risk Evaluation ◽  
Fuzzy Mathematics ◽  
Petroleum Development ◽  
Finance Risk

Project finance risk evaluation of the Electric power industry of Serbia

Energy Policy ◽  
2011 ◽  
Vol 39 (10) ◽  
pp. 6168-6177 ◽  
Author(s):  
Dragana Makajić Nikolić ◽  
Sandra Jednak ◽  
Slađana Benković ◽  
Vladimir Poznanić
Keyword(s):  
Electric Power ◽  
Risk Evaluation ◽  
Electric Power Industry ◽  
Power Industry ◽  
Project Finance ◽  
Finance Risk

Water Inrush Risk Evaluation into the Tanjiaba Tunnel

2014 ◽  
Vol 580-583 ◽  
pp. 1288-1292
Author(s):  
Yi Bo Sun ◽  
Man Yao Feng
Keyword(s):  
Risk Evaluation ◽  
Risk Index ◽  
Water Inrush ◽  
Hubei Province ◽  
Fuzzy Mathematics ◽  
Mathematics Model ◽  
Fuzzy Mathematics Model

The Tanjiaba tunnel lies in Hurongxi highway in Hubei Province. There are some middle karstified soluble rocks and a fish pool above the tunnel. To avoid the disaster of water inrush into the tunnel, risk evaluation is necessary to guide the construction. Fuzzy mathematics model is put forward to distinguish potentially dangerous parts along the tunnel. Use the fuzzy mathematics model differentiated the tunnel into 4 ranks of dangerous parts according to risk index. It is applied in the Tanjiaba tunnel and practice approves that the model are useful.

Failure Risk Evaluation of Security System Based on Fuzzy FTA

2014 ◽  
Vol 945-949 ◽  
pp. 1094-1097
Author(s):  
Na Qu ◽  
Zhong Hai Li ◽  
Nai Wei Cheng ◽  
Jian Wei Li
Keyword(s):  
Risk Evaluation ◽  
Statistical Data ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Security System ◽  
Fuzzy Mathematics ◽  
System Failure ◽  
Analysis Method ◽  
Tree Analysis ◽  
Failure Risk

The reliability of security system affects the ability of the system to protect people's lives and property safety. Failure risk assessment of security system is an effective method to test the reliability of the system. The fault tree analysis method has been applied to analyze the system failure risk from the angle of each part and considering the human factors. The traditional fault tree analysis method assumes that the probability of bottom events is certain to calculate the top event probability. To obtain accurate bottom events probability is difficult, even impossible because statistical data is not sufficient and the bottom events is fuzzy in fact. Analysis of the fuzzy mathematics theory is introduced into the fault tree. The calculation provides reference for the system design and management.

Risk evaluation, disease prophylaxis, life insurance

2008 ◽  
Vol 149 (15) ◽  
pp. 675-676
Author(s):  
János Fehér ◽  
Imre Horváth
Keyword(s):  
Life Insurance ◽  
Risk Evaluation

Mudrush risk evaluation

CIM Journal ◽  
2016 ◽  
Vol 7 (1) ◽  
pp. 7-12
Author(s):  
J. Jakubec ◽  
R. Clayton ◽  
A. R. Guest
Keyword(s):  
Risk Evaluation
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