In this paper we propose a method of building credit scoring models using a fuzzy rule based classifier. The rule base is learned from the training data using a ...
In this paper we propose a method of building credit scoring models using a fuzzy rule based classifier. The rule base is learned from the training data using a ...
reducing the complexity of k-NN search. We shall call this classifier SOM and Fuzzy Rule Based k Nearest Neighbor. (SOM-FRKNN) classifier. Next we outline ...
In this paper, we propose a method of building credit-scoring models using fuzzy rule based classifiers. First, the rule base is learned from the training data ...
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Developing Credit Scoring Models with SOM and Fuzzy Rule Based k-NN Classifiers · A. Laha. Business, Computer Science. 2006 IEEE International Conference on ...
Jul 30, 2013 · Building contextual classifiers by integrating fuzzy rule based classification technique and k-NN method for credit scoring. Adv Eng ...
We proposed a technology credit scoring model that can predict the potential credit risk of technology-based companies using fuzzy evaluation attributes.
This systematic review aims to provide deep insights on emerging trends in, and the potential of, advanced deep learning techniques.
Developing Credit Scoring Models with SOM and Fuzzy Rule Based k-NN Classifiers · A. Laha. Business, Computer Science. 2006 IEEE International Conference on ...
Laha, Developing credit scoring models with SOM and fuzzy rule based k-NN classifiers, in: Paper presented at Title of the IEEE International Conference on ...