Data Processing in Risk Research on Non-Profit Government Investment Project of Agent Construction System Based on FATP

2015 ◽  
Vol 730 ◽  
pp. 343-348
Author(s):  
Yun Na Wu ◽  
Yi Qi Hu ◽  
Kai Feng Chen
Keyword(s):  
Risk Assessment ◽  
Data Processing ◽  
Analytic Hierarchy Process ◽  
Investment Project ◽  
Fuzzy Analytic Hierarchy Process ◽  
Government Investment ◽  
Analytic Hierarchy ◽  
Non Profit ◽  
Hierarchy Process ◽  
Construction System

The non-profit government investment project (Non-profit Government Investment Project, hereinafter referred to as NGIP) own huge investment, large-scale, long cycle, involving a wide range of social benefits and it is related to the country's macroeconomic development, in its implementation period does not great certainty. Under Agent Construction System NGIP has its own risk, the paper will be based on Fuzzy Analytic Hierarchy Process (Fuzzy Analytic Hierarchy Process, FAHP) establish NGIP risk assessment model, through data processing the final use of the evaluation model for empirical analysis to achieve the agent system NGIP risk assessment.

scholarly journals An Application of Fuzzy Analytic Hierarchy Process in Risk Evaluation Model

2021 ◽  
Vol 12 ◽  
Author(s):  
Geng Peng ◽  
Lu Han ◽  
Zeyan Liu ◽  
Yanyang Guo ◽  
Junai Yan ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Analytic Hierarchy Process ◽  
Evaluation Model ◽  
Fuzzy Analytic Hierarchy Process ◽  
Analytic Hierarchy ◽  
Land Conflicts ◽  
System A ◽  
Medium Level ◽  
Hierarchy Process ◽  
Controllability Index

Conflicts in land exploration are incisive social problems which have been the subject in many studies. Risk assessment of land conflicts is effective to resolve such problems. Specifically, fuzzy mathematics and the analytic hierarchy process were combined together to evaluate risk in land conflicts in our work, which is proved useful to solve uncertainty and imprecision problems. Based on the analysis of the principles for the risk assessment of a land conflicts index system, a set of risk assessment indexes using the fuzzy analytic hierarchy process (FAHP) was presented. The results show that the overall risk is at medium level, and the risk of the feasibility index and controllability index need to be paid more attention to. The contribution of this article is reflected in two aspects: (1) the application of FAHP in risk assessments of land conflicts is effective and valid; (2) it is helpful for governments to establish a stricter management system of work safety for conflicts in land exploration based on the risk assessment results.

The Application of Fuzzy Analytic Hierarchy Process Method and Artificial Neural Network Model in the Elevator Risk Assessment

2014 ◽  
Vol 1014 ◽  
pp. 552-555
Author(s):  
Xin Shi Li ◽  
You Cai Xu ◽  
Ran Tao ◽  
Shu Guo ◽  
Kun Li ◽  
...  
Keyword(s):  
Neural Network ◽  
Risk Assessment ◽  
Artificial Neural Network ◽  
Analytic Hierarchy Process ◽  
Assessment Model ◽  
Fuzzy Analytic Hierarchy Process ◽  
Risk Assessment Model ◽  
Analytic Hierarchy ◽  
Artificial Neural ◽  
Hierarchy Process

The tradition elevator risk assessment model depends on the expert experience, which causes that the assessment process takes a long time. To deal with this problem, this paper proposes a new risk assessment model which is based on fuzzy analytic hierarchy process (F-AHP) and artificial neural network (ANN). This model is applied to the risk-assessment of elevators. The results show that the assessment time is shorter and the accuracy is not lower, in comparison with the traditional model.

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