Modeling a Sustainable Decision Support System for Banking Environments Using Rough Sets: A Case Study of the Egyptian Arab Land Bank

Mohamed A. Elnagar, Jaber Abdel Aty, Abdelghafar M. Elhady () and Samaa M. Shohieb ()
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Mohamed A. Elnagar: Studies and Environmental Research, Damanhour University, Damanhour 22514, Egypt
Jaber Abdel Aty: Faculty of Agriculture, Damanhour University, Damanhour 22514, Egypt
Abdelghafar M. Elhady: Deanship of Postgraduate Studies and Research, Umm Al-Qura University, Makkah 21955, Saudi Arabia
Samaa M. Shohieb: Faculty of Computers and Information, Mansoura University, Mansoura 35516, Egypt

IJFS, 2025, vol. 13, issue 1, 1-24

Abstract: This study addresses the vast amount of information held by the banking sector, especially regarding opportunities in tourism development, production, and large residential projects. With advancements in information technology and databases, data mining has become essential for banks to optimally utilize available data. From January 2023 to July 2024, data from the Egyptian Arab Land Bank (EALB) were analyzed using data mining techniques, including rough set theory and the Weka version 3.0 program. The aim was to identify potential units for targeted marketing, improve customer satisfaction, and contribute to sustainable development goals. By integrating sustainability principles into financing approaches, this research promotes green banking, encouraging environmentally friendly and socially responsible investments. A survey of EALB customers assessed their interest in purchasing homes under the real estate financing program. The results were analyzed with GraphPad Prism version 9.0, with 95% confidence intervals and an R-squared value close to 1, and we identified 13 units (43% of the total units) as having the highest marketing potential. This study highlights data mining’s role in enhancing marketing for the EALB’s residential projects. Combining sustainable financing with data insights promotes green banking, aligning with customer preferences and boosting satisfaction and profitability.

Keywords: customer satisfaction; data mining; EALB (Egyptian Arab Land Bank); GraphPad Prism analysis; green banking; real estate financing; rough set theory; sustainable development; targeted marketing; Weka program (search for similar items in EconPapers)
JEL-codes: F2 F3 F41 F42 G1 G2 G3 (search for similar items in EconPapers)
Date: 2025
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