FUZZY LOGIC BASED TOOL FOR LOAN RISK PREDICTION

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dc.contributor.authorSangeet Kumar
dc.contributor.authorNitin Bhatia
dc.contributor.authorNamarta kapoor
dc.date.accessioned2026-02-14T05:23:23Z
dc.date.available2026-02-14T05:23:23Z
dc.date.issued2014
dc.description.abstractLoan risk is a major decision for any financial organization like banks or for decision maker for loan applicant. The uncertain domain of risk assessment has long been in need of a reliable and consistent system to help simplify the decision making process. Fuzzy Logic provides a completely different, unorthodox way to approach a control problem. This method focuses on what the system should do rather than trying to understand how it works. One can concentrate on solving the problem rather than trying to model the system mathematically, if that is even possible. This almost invariably leads to quicker, cheaper solutions. This research work will help in analysis risk for a loan applicant according to different factors like its job, salary, loan amount and loan period etc. the decision factor helps in making decision about how to select correct loan applicant. Using fuzzy logic decision variable has been defined, new rules defined, according to different rules added and takes average decision based on questionnaires filled by different categories of applicant’s. The analysis of case studies shows the consistency and effectiveness of the approach in making correct decision.
dc.identifier.issn0974-5742
dc.identifier.urihttp://davjalandhar.ndl.gov.in/handle/123456789/200
dc.language.isoen
dc.publisherApeejay Journal of Computer Science Applications Vol. 2
dc.titleFUZZY LOGIC BASED TOOL FOR LOAN RISK PREDICTION
dc.typeArticle
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