A Study on Enterprise Technological Innovation Capability Evaluation with 2-Tuple Linguistic Information
Today rapid and drastic changes are taking place in technology. Technological innovation capability of a nation to knowledge becomes the crucial factor which raises national industry competition ability. Only in this way can an enterprise scientifically realize its technological innovation
ability in its competition with its counterpart, employ appropriate innovation strategy, make full use of its advantages and achieve the best economic and social benefits. The aim of this paper is to study the evaluation problems for evaluating the enterprise technological innovation capability
with 2-tuple linguistic information. The induced 2-tuple linguistic choquet ordered harmonic average (I-2TCOHA) operator is used to aggregate the 2-tuple linguistic information corresponding to each alternative and rank the alternatives and select the most desirable one(s). Finally an illustrative
example for evaluating the enterprise technological innovation capability has been given to show the developed approach.
Keywords: 2-Tuple Linguistic Fuzzy Information; Enterprise Technological Innovation Capability; Entrepreneurship; Evaluation
Document Type: Research Article
Affiliations: 1: Economics and Business Administration, Chongqing University, Chongqing, 400030, China 2: School of Public Affair, Chongqing University, Chongqing, 400030, China
Publication date: 01 October 2016
- Journal of Computational and Theoretical Nanoscience is an international peer-reviewed journal with a wide-ranging coverage, consolidates research activities in all aspects of computational and theoretical nanoscience into a single reference source. This journal offers scientists and engineers peer-reviewed research papers in all aspects of computational and theoretical nanoscience and nanotechnology in chemistry, physics, materials science, engineering and biology to publish original full papers and timely state-of-the-art reviews and short communications encompassing the fundamental and applied research.
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