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In this paper, we studied the two most commonly used artificial intelligence methods (Multilayer Perceptron and Radial Basis Function network) to build the credit scoring model of applications, and analyzed the most important restraining factors of the applications of neural network which is the exponential increase in the variables bringing the model over-complex. On this basis, the author combines...
Under the RoHS Directive enacted in the European Union, there exist a number of green quality uncertainties and risks at various stages during product lifecycle management. The green product management system designed in this study, consisting of green design management, supplier management and green production management, is mainly in charge of controlling quality uncertainties and risks to prevent...
Credit scoring using predictive models can help in the process of assessing credit worthiness during the credit evaluation process. The objective of credit scoring models is to assign credit risk score to determine if a customer is likely to default on the financial obligation. Construction of credit scoring models requires data mining techniques. Using historical data on payments, demographic characteristics...
Container multimodal transport is becoming a leading transport organization form in the international logistics activity. As a special logistics enterprise, to get more profits, we should establish the risk consciousness and formulate different prevention measures and risk aversion strategies according to the different types of risk. We should establish the mechanism of profits and risks sharing so...
The following topics were dealt with: green design and digital manufacturing; organizational culture; organizational learning; ecotourism innovation management; reverse logistics; recycling network; automobile enterprises; city traffic congestion; highway construction project; supply chain; water program; BP neural network; building renovation; MES system; integrated logistics network design; green...
Building an accurate credit scoring model is very important to predict effectively the creditworthiness of new customers. Neural networks and genetic algorithm are suitable for building highly predictive credit scoring model, but the lack of transparency of these methods is a major drawback. On the other hand the main advantage of fuzzy models is their ability to describe the behavior of systems with...
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