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Aiming at the shortages of the existing data-mining model for forecasting the industry security, a classification model based on rough sets and BP neural network (BPNN) is put forward in this paper. First, the theory of rough set is applied to pick up and reduce the index attributes. Then, the training samples are sent to the BPNN to train and learn. After that, the sorts of the coal industry security...
Early-warning system of China's real estate is still in the development of a sound stage, and there are following two main aspects. Firstly, the selection of indicators is to be improved. Secondly, predictive capability of the turning point about the real estate business cycle is to be improved. Based on the above-mentioned problems, the Rough-GA-BP model proposed is applied to the real estate early-warning...
Application of constructon supply chain can increase construction enterprises' profits and enhance the core competitiveness. Under the condition of construction supply chain, the correct evaluation and selection of partners are the key to success. This paper establishes a partner evaluation system and proposes a kind of artificial intelligence method for the partners evaluation, combining with the...
In order to identify suppliers and select appropriate suppliers, a supplier identification model which could evaluate the performance of suppliers was proposed based on rough sets and BP neural network. In the model, supplier performance decision table was designed, the heuristic attribute reduction algorithm based on discernable matrix was put forward, and the reduction of evaluation indicator system...
In order to identify third logistics suppliers and select appropriate suppliers, a supplier identification model which could evaluate the performance of suppliers was proposed based on rough sets and BP neural network. In the model, supplier performance decision table was designed, the heuristic attribute reduction algorithm based on discernable matrix was put forward, and the reduction of evaluation...
Because of the shortage of the traditional methods for evaluating regional innovation capability, it presents a new method based on rough set and BP neural network in this paper. Firstly, index system for evaluating about regional innovation capability is set up, and then rough set is used to simplify the attributes of the index system, it will ease the burden of training and learning of BP network...
The paper adopts rough set reduction algorithm to reduce the influence factors of power plant selection and eliminate the uncorrelated attribution, through which we can obtain typical samples. After this, adopting fuzzy method to calculate the membership degree of the typical samples, which are looked on as the input of BP Neural Network and the expert values are as the expected output to train the...
For implementing supply chain management effectively, it is very important to select suppliers. So a supplier selection model which could evaluate the performance of suppliers was proposed based on rough sets and BP neural network from the perspective of knowledge discovery and data mining at first. Then, the calculation and analysis process of the model was given and discussed. The performance decision...
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