Deanfis – a Fuzzy Multi-dimensional Approach to Decision-making Using Data Envelopment Analysis and Neuro-fuzzy Systems
نویسنده
چکیده
To screen consumer loan applications, loan officers use many different methods besides intuitive judgment and experience. They use mathematical techniques such as credit-scoring models and traditional statistical models. In addition, many financial institutions use artificial intelligence methods such as expert systems, artificial neural systems, and fuzzy logic. This study proposes the development of a decision support system that uses a combination of data envelopment analysis and neuro-fuzzy systems. Thus, the decision support system derives benefit from both methodologies to provide a comprehensive review of a loan applicant.
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