Fuzzy logic based decision support system for loan risk assessment
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Date
2011
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Journal ISSN
Volume Title
Publisher
IJCSt Vol. 2, ISSue 2
Abstract
This paper is concerned with risks associated with the loan Risk
analysis and related adaptation strategies have grown in
importance and complexity during last years. The large amount of
data and information that needs to be handled and integrated
requires specific methodologies and tools. So selecting a new loan
applicant is a important issue of a financial organizations or
Banks. There are so many different factors which effect on the
selection of applicant who apply for loan. So, it’s a problem for
Banks and other private financers to choose right applicant so that
minimum risk involved during loan process using fuzzy logic. We
control this problem in quicker and cheapest way using
knowledge and experience of experts which are involved in this
process and having knowledge about this field. This paper
provides risk analysis based on fuzzy inference system. And
provide GUI based interface tool regarding different parameters of
an applicant which effect loan risk assessment. The analysis of
experimental results of different applicants checks the correctness
and consistency of decision Support system for correct decision
making.