Evaluation of Financial Risk Prediction Method Using EDAS Method

In recent years, financial risks A variety of early identification Classification techniques are used. Finance in risk assessment, given A suitable classifier for the dataset (or group of classifiers) how Knowing what to choose is an important challenge. Performance measurement and Finance of classifiers depending on environment Note that risk prediction performance may vary Previous research has shown that better classifiers for problems Selection is very much in data mining.  As a variety of factors are involved it is one of the most difficult tasks. Different options on multiple criteria to evaluate, a multi-criteria decision is made Using (MCDM) procedures Significant. Simplified MCDM Financial risk using the approach Significantly associated with prediction This is to sort the classifiers The primary objective of the work is Significant classification algorithms Analysis is also of this method MCTM is another leader in performance. In this study, MCDM is the EDAS approach Financial risk with Bayes Net and Naive Bayes The first two is for datasets Ranks into classifiers.

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