Model for evaluating the high-tech industry competitiveness of science and technology parks with fuzzy number intuitionistic fuzzy information

Article type: Research Article

Authors: Xia, Guanjun^a | Sun, Ying^b | Wu, Songqiang^{c; *} | Zheng, Chuiyong^a

Affiliations: [a] Business School, Hohai University, Nanjing, Jiangsu, China | [b] Economics and Management School, Nanjing Polytechnic Institute, Nanjing, Jiangsu, China | [c] Economics and Management School, Nan Tech University, Nanjing, Jiangsu, China

Correspondence: [*] Corresponding author. Songqiang Wu, Economics and Management School, Nan Tech University, Nanjing, Jiangsu, 210009, China. Tel./Fax: +86 025 58099269; E-mail: hhsxgj@126.com.

Abstract: In this paper, we investigate the multiple attribute decision making problems to evaluate the high-tech industry competitiveness of science and technology parks with the fuzzy number intuitionistic fuzzy information. We first introduce some operations on the fuzzy number intuitionistic fuzzy sets. Then, we further develop the induced fuzzy number intuitionistic fuzzy Hamacher ordered weighted geometric (IFNIFHOWG) operator based on the induced OWG (IOWG) operator. Then, we apply the IFNIFHOWG to deal with multiple attribute decision making with the fuzzy number intuitionistic fuzzy information. Finally an illustrative example for evaluating the high-tech industry competitiveness of science and technology parks has been given to show the developed method.

Keywords: Multiple attribute decision making (MADM), fuzzy number intuitionistic fuzzy sets, Hamacher geometric aggregation operators, induced fuzzy number intuitionistic fuzzy Hamacher ordered weighted geometric (IFNIFHOWG) operator, high-tech industry competitiveness, science and technology parks

DOI: 10.3233/JIFS-16294

Journal: Journal of Intelligent & Fuzzy Systems, vol. 33, no. 4, pp. 2189-2197, 2017