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Various credit scoring models have been proposed to estimate credit risk of loan applicants. Recently, the use of artificial immune systems (AIS) in credit problems has been increased. AIS is inspired from natural immune system which has the ability of determining self from non-self. The aim of this study is constructing an AIS-based model to extract fuzzy rules to predict the likelihood of customers...
The core of fuzzy evaluation on the operational performance of e-commerce websites is membership degree transformation. But the existing transformation methods should be questioned, because redundant data in index membership degree is also used to compute object membership degree, which is not useful for object classification. The new algorithm is: using data mining technology based on entropy to...
With the growing rate of network attacks, intelligent methods for detecting new attacks have attracted increasing interest. This paper presents an approach incorporating several soft computing techniques to construct a hierarchical neuro-fuzzy inference intrusion detection system which can implement either misuse or anomaly detection. In the proposed system principal component analysis neural network...
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