Study on Naval Vessel Repair Risk Evaluation Model Based on Fuzzy Cognitive Map

2013 ◽  
Vol 668 ◽  
pp. 480-484 ◽  
Author(s):  
Yao Lu ◽  
Li Fang ◽  
Gong Jun

Based on the problems of improper and erroneous repair easily happening during naval vessel repair, a ship repair risk evaluation model was put forth on the basis of risk identification, and then solved and simulated to effectively control the risks of naval vessel repair, reduce the errors of repair, and prevent safety accident.

Author(s):  
Constanta- Nicoleta Bodea ◽  
Maria-Iuliana Dascalu

A risk evaluation model for IT projects using fuzzy inference is proposed. The knowledge base for fuzzy processes is built using a causal and cognitive map of risks. This map was specially developed for IT projects and takes into account the typical lifecycle and the risk taxonomy created by the Software Engineering Institute. The model was used to compute the technological risk of an e-testing project. This project was positioned on the middle level of the risk map, implying that the probability of encountering technological difficulties depends on the number of technologies used and their market maturity. A software system for validating the model was also developed.


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