Models for evaluating the technological innovation capability of small and micro enterprises with hesitant fuzzy information

Abstract

The enhancement of small and micro enterprises’ technological innovation capability not only helps enterprise increase its core competence to adapt to the changeful environment, but also helps our country to increase its national competence. In order to enhance small and micro enterprises’ technological innovation capability, enterprises should build a well technological innovation system, increase the technology innovation input and be active in technological innovation activities, and at the same time, it is essential for the government to play a role of leading, make effective policies and build good environment. Therefore, it is necessary to collect and study on small and micro enterprises’ technological innovation capability related data, cases and policies in order to know the current situation and trend of small and micro enterprises’ technological innovation capability. In order to make the above-mentioned work more convenient and more efficient, in this paper, we investigate the multiple attribute decision making for evaluating the technological innovation capability of small and micro enterprises with hesitant fuzzy information. Motivated by the ideal of dependent aggregation, we develop the dependent hesitant fuzzy Hamacher weighted geometric (DHFHWG) operator, in which the associated weights only depend on the aggregated hesitant fuzzy arguments and can relieve the influence of unfair hesitant fuzzy arguments on the aggregated results by assigning low weights to those “false” and “biased” ones and then apply them to develop an approach for multiple attribute decision making with hesitant fuzzy information. Finally, an illustrative example for evaluating the technological innovation capability of small and micro enterprises is given to verify the developed approach.