An approach to evaluating the knowledge innovation ability of new ventures based on knowledge management with fuzzy number intuitionistic fuzzy information

Article type: Research Article

Authors: Fan, Wei^*

Affiliations: Graduate School, Chang Chun University of Science and Technology, Chang Chun, China

Correspondence: [*] Corresponding author. Wei Fan, Graduate School, Chang Chun University of Science and Technology, Chang Chun, China. Tel./Fax: +86 13843176394; E-mail: [email protected].

Abstract: Currently, most new ventures are knowledge-based enterprises; moreover, knowledge innovation constitutes the major activities of the enterprises’ production and knowledge management. Therefore, it is of great significance to be able to properly analyze and evaluate a new venture’s knowledge innovation ability. In this paper, we investigate the multiple attribute decision making problems with fuzzy number intuitionistic fuzzy information. Then, we develop the fuzzy number intuitionistic fuzzy Hamacher power weighted geometric (FNIFHPWG) operator. Then, we apply the FNIFHPWG operator to deal with multiple attribute decision making for evaluating the knowledge innovation ability of new ventures based on knowledge management under the fuzzy number intuitionistic fuzzy environments. Finally, an illustrative example for evaluating the knowledge innovation ability of new ventures based on knowledge management is given to verify the developed approach.

Keywords: Multiple attribute decision making, fuzzy number intuitionistic fuzzy sets, Hamacher aggregation operators, fuzzy number intuitionistic fuzzy Hamacher power weighted geometric (FNIFHPWG) operator, knowledge innovation ability, knowledge management

DOI: 10.3233/JIFS-16731

Journal: Journal of Intelligent & Fuzzy Systems, vol. 32, no. 6, pp. 4357-4365, 2017