Evaluation of cooperative innovation performance based on grey model

Abstract

Grey clustering evaluation is a grey evaluation systems based on the grey triangle whitening weight function, and has been widely used in various fields since first proposed by Dr. Liu Sifeng in 1993. By researching the construction principle of triangle whitening weight function in the grey clustering evaluation system and the general process of using this system to evaluate the company collaborative innovation performance, this paper ventures to establishes an objective and comprehensive evaluation system of company collaborative innovation performance in the globalized environment. This system can guide companies to measure their own effectiveness and efficiency in collaborative innovation and identify their weaknesses in order to make improvements, and to improve their capabilities of collaborative innovation. Thus, companies can maximize their benefits from collaborative innovation.