Research on the efficiency evaluation of venture capital of high-science and technology companies with dual hesitant fuzzy information

Article type: Research Article

Authors: Wang, Yi-Xin^*

Affiliations: PLA Nanjing Institute of Politics, Nanjing, China

Correspondence: [*] Corresponding author. Yi-Xin Wang, PLA Nanjing Institute of Politics, Nanjing 210000, China. Tel./Fax: +86 025 80815000; E-mail: wang1359009@163.com.

Abstract: High technology enterprise venture capital is one kind of important means that market economy system supports to put research findings into industrial production time, with whose proper function, have driven host country science and technology and development of the economy in the field of every. In venture capital reality affair activity, the rightness to the project appraises the key link being that venture capital is in motion and does business successfully. The task of this paper is to study on the multiple attribute decision making problems for evaluating the efficiency of venture capital of high-science and technology companies with dual hesitant fuzzy information and incomplete weight information. Then, exploiting the existing GRA methods, computation steps for tackling dual hesitant fuzzy multiple attribute decision-making problems with incomplete weight information are proposed. In the end, an example of evaluating the efficiency of venture capital of high-science and technology companies using the grey relational analysis based on the dual hesitant fuzzy information is proposed.

Keywords: Multiple attribute decision making, dual hesitant fuzzy values, grey relational analysis method, high-science and technology companies, venture capital, efficiency evaluation

DOI: 10.3233/IFS-162182

Journal: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 3, pp. 1183-1187, 2016