• Corpus ID: 55983884

Fuzzified MCDM Consistent Ranking Feature Selection with Hybrid Algorithm for Credit Risk Assessment

  title={Fuzzified MCDM Consistent Ranking Feature Selection with Hybrid Algorithm for Credit Risk Assessment},
  author={Y. Beulah Jeba Jaya and J. Jebamalar Tamilselvi},
  journal={Research Journal of Applied Sciences, Engineering and Technology},
Feature selection algorithms that are based on different single evaluation criterions for determining the subset of features shows varying result sets which lead to inconsistency in ranks. In contrary, Multiple Criteria Decision Making (MCDM) with Fuzzified Feature Selection methodology brings consistency in feature selection ranking with optimal features and improving the classification performance of credit risks. By adopting multiple evaluation criteria inconsistent ranks to Fuzzy Analytic… 

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