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This paper proposes time series forecasting using a new feature selection method based on the non-overlap area distribution measurement method and Takagi's and Sugeno's fuzzy model. The non-overlap area distribution measurement method selects the minimum number of 4 input features with the highest performance result from 12 initial input features by removing the worst input features one by one. This...
In this paper, an intelligent system that hybridized rough set approach (RS) and fuzzy support vector machine (FSVM) is applied to the study of customer classification in commercial banks. We can get reduced information table, which implies that the number of evaluation criteria such as financial ratios and qualitative variables is reduced with no information loss through rough set approach. And then,...
With the rapid developing of the Internet, more and more business websites are appearing all around the world. As the proportion of C2C business mode increasing, the problem about personal credit evaluation in the business websites also becomes more critical. The deal methods are very different between the C2C mode and the traditional enterprises in evaluating the credit rank due to the feature of...
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