Performance Evaluation of Venture Capital for Small and Medium-Sized Technology Startups under Uncertainty Environmen

Authors

Zhihao Cao

Abstract

This study presents a novel approach to evaluating venture capital in an uncertain environment using a multi-criteria decision-making (MCDM) methodology integrated with the plithogenic framework. Venture capital decisions often involve numerous conflicting factors and vague information, making precise evaluations challenging. The MARCOS method was applied to rank eleven alternatives based on eight criteria, such as return on investment and market growth. The criteria weights were computed using normalized crisp values, and the plithogenic operator was utilized to handle uncertainty. Sensitivity analysis confirmed the stability of the results, showing that the proposed method effectively ranks alternatives under varying conditions. The findings highlight the robustness of the MARCOS approach when integrated with plithogenic sets in addressing complex decision-making scenarios.

Recommended Citation

Cao, Zhihao. "Performance Evaluation of Venture Capital for Small and Medium-Sized Technology Startups under Uncertainty Environmen." Neutrosophic Sets and Systems 80, 1 (2025). https://digitalrepository.unm.edu/nss_journal/vol80/iss1/11