Modified Framework for MAGDM Based on Intuitionistic Fuzzy TODIM and MABAC Technique

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.