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In order to select the reasonable risk management strategy, which to control and manage the risk of virtual enterprise in project logistics, the palette of risk management strategy for virtual enterprise in project logistics is designed at first, then this palette is quantifiable by risk decision model and calculated by Genetic Algorithm. Finally the model is used to estimate each risk factor in real...
Simple genetic algorithm has many defects, such as premature and slow speed of convergence. This paper researches the frame and performance of four combination algorithms based on dynamic self-adaptive genetic algorithm (DSGA-SVM, DSGA-Logistic, DSGA-C4.5, DSGA-BPNN). In order to classify the customers into two groups representing low and high credit risk, the proposed algorithms are tested using...
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...
Credit risk management is one of the most important tasks of financial institutes. Default probability is the probability that a company will go into default, or be unable to fulfill an obligation, and it is a critical information for credit administration. Binomial logit model is widely used for default probability estimation. The formulas for computing covariates used in the model are designed by...
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