An improved Pythagorean fuzzy hybrid aggregation method based on grey correlation for knowledge collaborative innovation partner selection

Abstract

In the context of open innovation, selecting partners for knowledge collaboration is crucial for knowledge-intensive enterprises, and matching cooperation is key to successful intellectual property cooperation. To provide enterprises with practical tools for partner selection, this paper analyzes the evaluation factors of intellectual property partners. We establish a collaborative innovation intellectual property partner selection model by combining the maximum entropy model with grey relational method, and calculating the comprehensive evaluation value of candidate enterprises by using the improved Pythagorean Fuzzy Hybrid Aggregation (PF-HA) operator. An application example illustrates the feasibility and advantage of the improved PF-HA method improving the selection of intellectual property partners. Compared with other methods, the advantages of PF-HA are shown in that it can simultaneously optimize the use efficiency of multi-partner and multi-dimensional evaluation data, and effectively deal with the ambiguity of expert decision information and the flexibility of index weight in the partner evaluation process.