A patent portfolio value analysis based on intuitionistic fuzzy sets: An empirical analysis of artificial intelligence for healthcare

Abstract

Evaluating patent assets from the perspective of a patent portfolio is an emerging research direction and also a concrete practical example of open innovation theory, which presents the main form of encouraging more innovation entities to participate and further innovate by disclosing technological innovation information. For a better understanding of the patent portfolio value system at the quantitative level, this paper attempts to explore the relationship between the patent portfolio and the open innovation environment of industrial clusters, thus proposing a dynamic patent value evaluation method. Therefore, through focusing on the field of artificial intelligence for healthcare, this paper implements the evaluation process based on collecting relevant patent data and building an intuitionistic fuzzy set evaluation system. The evaluation results provide a value ranking for the patent portfolio, which helps decision-makers to carry out industrial patent layout planning and implement patent licensing strategies orienting to open innovation.