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Modified Framework for MAGDM Based on Intuitionistic Fuzzy TODIM and MABAC Technique: Performance Evaluation of Venture Capital in Small and Medium-Sized Technology Startups

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  • Qingping Li

    (School of Economics and Management, Huainan Normal University, China)

  • Guoqiang Wu

    (School of Economics and Management, Huainan Normal University, China)

  • Jiangfeng Li

    (Jiujiang University, China)

Abstract

The performance evaluation of venture capital in small and medium-sized technology startups involve multiple-attribute group decision-making (MAGDM). To address this challenge, the TODIM and MABAC approaches were utilized in this study. Intuitionistic fuzzy sets (IFSs) were employed as a decision-making tool to handle uncertainty in the performance evaluation of venture capital in small and medium-sized technology startups. Building on this, the study proposed an intuitionistic fuzzy TODIM-MABAC (IF-TODIM-MABAC) method to solve MAGDM problems under IFSs. Additionally, the entropy method was applied to calculate attribute weight values under IFSs, ensuring an objective and reliable weighting process. A numerical study was conducted to evaluate the performance evaluation of venture capital in small and medium-sized technology startups, and several comparative analyses were performed to validate the proposed approach.

Suggested Citation

  • Qingping Li & Guoqiang Wu & Jiangfeng Li, 2025. "Modified Framework for MAGDM Based on Intuitionistic Fuzzy TODIM and MABAC Technique: Performance Evaluation of Venture Capital in Small and Medium-Sized Technology Startups," International Journal of Fuzzy System Applications (IJFSA), IGI Global, vol. 14(1), pages 1-21, January.
    • Handle: RePEc:igg:jfsa00:v:14:y:2025:i:1:p:1-21
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