Study on IT Project Investment Risk Evaluation Based on ANP

2011 ◽  
Vol 63-64 ◽  
pp. 557-560 ◽  
Author(s):  
Bing Sheng Liu ◽  
Hui Yan Ma ◽  
Li Lin
Keyword(s):  
Risk Management ◽  
Empirical Analysis ◽  
Risk Evaluation ◽  
Evaluation Model ◽  
Investment Risk ◽  
It Projects ◽  
Project Investment ◽  
It Project ◽  
Risk Evaluation Model

This paper has studied the classification of investment risks in IT projects, and got 5 categories of investment risks, which can be subdivided into 14 kinds. Then established the IT project investment risk evaluation model based on ANP and made empirical analysis on it with Super Decision Software. The results we got offered a reference for IT project investment risk management.

The Risk Evaluation Model of Mining Project Investment Based on Fuzzy Comprehensive Method

2013 ◽  
Vol 295-298 ◽  
pp. 2928-2934 ◽  
Author(s):  
Zuo Gong Wang ◽  
Jie Zheng ◽  
Hui Yang Li
Keyword(s):  
Risk Factors ◽  
Risk Evaluation ◽  
Evaluation Model ◽  
Evaluation Index System ◽  
Assessment Model ◽  
Investment Risk ◽  
Project Investment ◽  
Comprehensive Method ◽  
Mining Project ◽  
Risk Evaluation Model

Mining project investment has a lot of features, such as long period, slow effect, big capital size, irreversible investment, the numerous and complicated risk factors. Therefore, it is necessary to analyze and evaluate the investment risk before accepting project. On the basis of analyzing the mining project risk factors, establishing the risk evaluation index system, establishing the risk assessment model based on fuzzy comprehensive method, then evaluating the investment risk of mining project quantitatively, which provides the decision-making basis, makes the investment more scientific and safer and reduces the risk of investment.

IT Risk Evaluation Model Using Risk Maps and Fuzzy Inference

2010 ◽  
Vol 1 (2) ◽  
pp. 79-97 ◽  
Author(s):  
Constanta- Nicoleta Bodea ◽  
Maria-Iuliana Dascalu
Keyword(s):  
Risk Evaluation ◽  
Fuzzy Inference ◽  
Evaluation Model ◽  
Middle Level ◽  
Risk Map ◽  
It Projects ◽  
Risk Taxonomy ◽  
It Risk ◽  
Engineering Institute ◽  
Risk Evaluation Model

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.

IT Risk Evaluation Model Using Risk Maps and Fuzzy Inference

2012 ◽  
pp. 66-84
Author(s):  
Constanta- Nicoleta Bodea ◽  
Maria-Iuliana Dascalu
Keyword(s):  
Risk Evaluation ◽  
Fuzzy Inference ◽  
Evaluation Model ◽  
Cognitive Map ◽  
Middle Level ◽  
It Projects ◽  
Risk Taxonomy ◽  
It Risk ◽  
Engineering Institute ◽  
Risk Evaluation Model

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.

The Risk Evaluation Model of Construction Project Contract Based on BP Neural Network

2013 ◽  
Vol 357-360 ◽  
pp. 2304-2307
Author(s):  
Hua Liu ◽  
Jun Fang Yang ◽  
Zhi Yuan Zhang
Keyword(s):  
Neural Network ◽  
Risk Management ◽  
Bp Neural Network ◽  
Risk Evaluation ◽  
Evaluation Model ◽  
Neural Network Method ◽  
Network Method ◽  
Indicator Model ◽  
Current Risk ◽  
Risk Evaluation Model

According to the current risk management of construction contract in China, put forward the idea of using neural network method to evaluate the risk in construction contract. Designed a comprehensive multi-indicator model for evaluating the construction contract risk based on BP Neural Network. This model can be used for simulating and evaluating the risk in construction contract in future. It has been proved that the desired results can be achieved by using this model.

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