Titlebook: Bio-Inspired Credit Risk Analysis; Computational Intell Lean Yu,Shouyang Wang,Ligang Zhou Book 2008 Springer-Verlag Berlin Heidelberg 2008

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A Least Squares Fuzzy SVM Approach to Credit Risk Assessmentty, this chapter proposes a least squares solution to FSVM. In the proposed model, we consider equality constraints instead of inequalities for the classification problem with a formulation in least squares sense. As a result the solutions follow directly from solving a set of linear equations, inst

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An Intelligent-Agent-Based Multicriteria Fuzzy Group Decision Making Model for Credit Risk Analysisaking actions. In this way, the specified decision problems are extended into a fuzzy GDM framework. Fourth, different from previous subjective methods and traditional time-consuming iterative procedures, this article proposes a fast optimization technique to integrate the fuzzy opinions and to make

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Das Problem des Schraubenpropellersers and their subsequent performance..The rest of this chapter is organized as follows. Section 2.2 briefly introduces the SVM with the NPA algorithm. In Section 2.3, the parameter selection technology based on DOE is briefly discussed and the hybrid algorithm of NPA and the parameter selection is d

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