An Approach to Potential Evaluation of Emerging Technology Commercialization with Uncertain Linguistic Information

Abstract

In this paper, we investigate the multiple attribute group decision making (MAGDM) problems for potential evaluation of emerging technology commercialization with uncertain linguistic information. Then, we have developed an uncertain linguistic hybrid harmonic mean (ULHHM) operator. We have proved both ULWHM and ULOWHM operators are the special case of the ULHHM operator. The ULHHM operator generalizes both the ULWHM and ULOWHM operators, and reflects the importance degrees of both the given arguments and their ordered positions. Based on the ULWHM and ULHHM operators, we have proposed an approach to MAGDM for potential evaluation of emerging technology commercialization under uncertain linguistic environment. Finally an illustrative example for potential evaluation of emerging technology commercialization with uncertain linguistic information has been given to show the developed approach and to demonstrate its feasibility and practicality.