A 2-tuple Fuzzy Linguistic Model for Criteria Evaluation on Technological Innovation of Marine Enterprises

Abstract

Zhang, Q., Liu, S., and Tu, Q., 2019. A 2-tuple fuzzy linguistic representation model for evaluation index selection of technological innovation of marine technology enterprises. In: Gong, D.; Zhu, H., and Liu, R. (eds.), Selected Topics in Coastal Research: Engineering, Industry, Economy, and Sustainable Development. Journal of Coastal Research, Special Issue No. 94, pp. 634–639. Coconut Creek (Florida), ISSN 0749-0208.With the depletion of terrestrial resources, the ocean has become an important resource for the development of countries around the world. As the basic means and supporting force for marine development, marine technology innovation has thus become the main field of national competition. Hence, as the inner motivation and main source of marine technology enterprise development, technological innovation plays an important role in competition. Regarding of the multiple criteria decision-making problem of technological innovation on marine technology enterprises, this paper proposes a method for evaluation index selection by combining 2-tuple fuzzy linguistic approach. Experts evaluate each indicators of the candidate index set and provide the degree of understanding to the index when evaluating the information, which can effectively distinguish the quality of information provided by various experts. Finally, the paper integrates the evaluation information by multiple experts using the aggregated operators based on 2-tuple linguistic model and formed the scientific index system for technological innovation of marine technology enterprises.