Criteria Selection of Housing Loan Based on Dominance-Based Rough Set Theory: An Indian Case

Anupama Singh, Aarti Singh, Haresh Kumar Sharma () and Saibal Majumder
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Anupama Singh: Department of Strategic Environmental Management, Birla Institute of Management Technology, Greater Noida 201306, Uttar Pradesh, India
Aarti Singh: FORE School of Management, New Delhi 110016, India
Haresh Kumar Sharma: Department of Mathematics, Faculty of Science, SGT University, Gurugram 122505, Haryana, India
Saibal Majumder: Department of Computer Science and Engineering (Data Science), Dr. B.C. Roy Engineering College, Durgapur 713206, West Bengal, India

JRFM, 2023, vol. 16, issue 7, 1-14

Abstract: Because India has one of the world’s fastest-growing economies, the Indian banking sector is essential to the country’s reform. The approval of home loans to customers is one of the crucial tasks carried out by Indian banks. The risk of loan repayment outside of the agreed-upon time frame can be reduced by accurately estimating the customer’s loan need. The majority of earlier studies on the development of banking lacked a methodical approach to analyze qualitative data. Even though the traditional multivariate statistically based factor analysis approach is a great way to categories data in qualitative analysis, the technique cannot be used without any statistical presumptions and additional information about the data. This study handles the banking attributes related to home loans using the Dominance-based Rough Set Approach (D-RSA). In order to categorize the customer’s attributes, this study suggests using a preference-based “if … then” decision rule. This rule can aid decision makers in understanding the risk factors associated with loan factors for a financial organization.

Keywords: mortgage loan sanction; dominance-based rough set; factor analysis; decision making; banking (search for similar items in EconPapers)
JEL-codes: C E F2 F3 G (search for similar items in EconPapers)
Date: 2023
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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