Model for evaluating the teaching effect of the college English public speaking course under the flipped classroom hybrid teaching mode with intuitionistic trapezoidal fuzzy numbers

Issue title: Special Section: Fuzzy Decision Making and Applications in Knowledge Management

Guest editors: Justin Zhang

Article type: Research Article

Authors: Xu, Jing^{; *}

Affiliations: School of Foreign Languages, Shanxi Datong University, Datong, Shanxi, P.R. China

Correspondence: [*] Corresponding author. Jing Xu, School of Foreign Languages, Shanxi Datong University, Datong, Shanxi, 037009, P.R. China. Tel./Fax.: +86 352 7158317; E-mail: [email protected].

Abstract: In this paper, we investigate the multiple attribute decision making problems with the intuitionistic trapezoidal fuzzy information. Some operational laws of intuitionistic trapezoidal fuzzy numbers are introduced. Then, we proposed the some Einstein information aggregating operators with intuitionistic trapezoidal fuzzy information including intuitionistic trapezoidal fuzzy Einstein weighted averaging (ITFEWA) operator, intuitionistic trapezoidal fuzzy Einstein ordered weighted averaging (ITFEOWA) operator and intuitionistic trapezoidal fuzzy Einstein hybrid aggregation (ITFEHA) operator, are proposed. An approach to multiple attribute decision making with intuitionistic trapezoidal fuzzy information is developed based on the ITFEWA operator. Finally, an illustrative example for evaluating the teaching effect of the college English public speaking course under the flipped classroom hybrid teaching mode is given to verify the developed approach.

Keywords: Multiple attribute decision making, intuitionistic trapezoidal fuzzy numbers, intuitionistic trapezoidal fuzzy einstein weighted averaging (ITFEWA) operator, intuitionistic trapezoidal fuzzy einstein ordered weighted averaging (ITFEOWA) operator, intuitionistic trapezoidal fuzzy einstein hybrid aggregation (ITFEHA) operator, teaching effect, college english public speaking course

DOI: 10.3233/JIFS-179268

Journal: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 2, pp. 2051-2058, 2019