Jun 24, 2014 · This paper proposes a new classifier using immune principles and fuzzy rules to predict quality factors of individuals in banks. The proposed ...
May 29, 2024 · This paper proposes a new classifier using immune principles and fuzzy rules to predict quality factors of individuals in banks. The proposed ...
A new classifier using immune principles and fuzzy rules to predict quality factors of individuals in banks, combined with fuzzy pattern classification to ...
This paper proposes a new classifier using immune principles and fuzzy rules to predict quality factors of individuals in banks.
Two real world credit data sets in UCI machine learning repository are selected as experimental data to show the accuracy of the proposed classifier. We compare ...
Credit risk evaluation has a relevant role to financial institutions, since lending may result in real and immediate losses. In particular, default prediction ...
FuzzyRoughSetTheory (FRST) is used for finding feature subset of credit risk Prediction and assessment of credit, and four other feature selection methods ...
The aim of this study is constructing an AIS-based model to extract fuzzy rules to predict the likelihood of customers such as good/bad payer. The rules have ...
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Credit Risk Prediction Using Fuzzy Immune Learning - 華藝線上圖書館
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Credit Risk Prediction Using Fuzzy Immune Learning. Ehsan Kamalloo ； Mohammad Saniee Abadeh. 《Advances in Fuzzy Systems》 2014期 (2014/12) Pp. 111-121. https ...
This study integrates the characteristics of credit risk rating and artificial intelligence technology into a credit risk rating model based on fuzzy neural ...