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Enhanced Group Decision-Making for Quality Evaluation of Rural Digital Finance Supporting Rural Revitalization

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  • Dan Zhang

    (College of Finance and Information, Ningbo University of Finance and Economics, Ningbo, China)

Abstract

The evaluation of rural digital finance's contribution to revitalization quality is essential for advancing high-quality development that integrates sustainable economic growth with social equity and environmental responsibility. This assessment aims to balance the operational effectiveness of digital financial services with their broader socioeconomic impacts, while minimizing potential disruptions to traditional rural structures. Conceptually, this evaluation can be structured as a multiple-attribute group decision-making challenge. To address the inherent complexities and uncertainties in such assessments, this research developed an innovative methodology termed the single-valued neutrosophic number close value approach. The study outlined the computational procedures for applying this integrated single-valued neutrosophic number close value model to multiple-attribute group decision-making problems. To validate its practical utility, an illustrative case study examining rural digital finance's role in revitalization quality was presented. The proposed method's superior performance and advantages were subsequently verified through comparative analysis with existing approaches.

Suggested Citation

  • Dan Zhang, 2025. "Enhanced Group Decision-Making for Quality Evaluation of Rural Digital Finance Supporting Rural Revitalization," International Journal of Decision Support System Technology (IJDSST), IGI Global Scientific Publishing, vol. 17(1), pages 1-16, January.
  • Handle: RePEc:igg:jdsst0:v:17:y:2025:i:1:p:1-16
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