Model for evaluating the classification modes of the China’s college entrance examination with hesitant fuzzy information

Article type: Research Article

Authors: Hua, Ting

Affiliations: Jiangxi University of Technology, Nanchang, 330098, Jiangxi, China | Tel./Fax: +86 13970833242; E-mail: 280500265@qq.com

Abstract: College entrance examination, as a kind of talents selecting entrance examination, individuals pay attention to it, because it is in relation to the personal destiny. Nations concern on it, because it relates to the nation’s future and destiny of our country. The reforms of college entrance examination in forms and contents with the pace of times have been kept on since 1977 – the college entrance examination has been restored, from major subjective questions test to the majority of the objective, from simple dividing to science and arts to 3 + 2, 3 + 1 examination in the college entrance exam, from single-track recruit to double-track in enrolling new students. In this paper, we investigate the multiple attribute decision making problems for evaluating the classification modes of the China’s college entrance examination with hesitant fuzzy information. Motivated by the ideal of dependent aggregation, in this paper, we used the dependent hesitant fuzzy ordered weighted averaging (DHFOWA) operator, in which the associated weights only depend on the aggregated hesitant fuzzy arguments and can relieve the influence of unfair hesitant fuzzy arguments on the aggregated results by assigning low weights to those “false” and “biased” ones and then apply them to develop some approaches for multiple attribute group decision making for evaluating the classification modes of the China’s college entrance examination with hesitant fuzzy information. Finally, some illustrative examples for evaluating the classification modes of the China’s college entrance examination are given to verify the developed approach and to demonstrate its practicality and effectiveness.

Keywords: Multiple attribute decision making, hesitant fuzzy information, dependent hesitant fuzzy ordered weighted averaging (DHFOWA) operator, classification modes, China’s college entrance examination

DOI: 10.3233/KES-170370

Journal: International Journal of Knowledge-based and Intelligent Engineering Systems, vol. 21, no. 4, pp. 265-272, 2017