Abstract
This study, based on the characteristics of the Chinese government venture capital (GVC), developed an index system that basically allows to identify potential on key aspects on a given start‐up, proposing a decision‐making method based on analytic hierarchy process (AHP) and intuitionistic fuzzy set–technique for order of preference by similarity to ideal solution (IFS‐TOPSIS) to evaluate and select Chinese GVC investment projects. A numerical example of how the proposed model was applied to a GVC investment project selection in China is provided. Our results showed that the adoption of this methodology can contribute to increase fairness and transparency in the evaluation process on GVCs, and the proposed index set is ideal for GVCs for start‐up selection.
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