Dual hesitant fuzzy multi-criteria decision making and its application to teaching quality assessment

Article type: Research Article

Authors: Yu, De-Jian^; | Li, Deng-Feng

Affiliations: School of Information, Zhejiang University of Finance and Economics, Hangzhou, Zhejiang, China | School of Management, Fuzhou University, Fuzhou, Fujian, China

Note: [] Corresponding author. Deng-Feng Li, School of Management, Fuzhou University, No. 2, Xueyuan Road, Daxue New District, Fuzhou District, Fuzhou, Fujian 350108, China. Tel./Fax: +86 0591 83768427; E-mail: [email protected]

Abstract: The dual hesitant fuzzy set is an efficient mathematical approach to study imprecise, uncertain or incomplete information or knowledge. In this paper, we study the aggregation methods of the dual hesitant fuzzy information. Several aggregation operators are proposed, such as the generalized dual hesitant fuzzy weighted averaging operator (GDHFWA), the generalized dual hesitant fuzzy ordered weighted averaging operator (GDHFOWA) and the generalized dual hesitant fuzzy hybrid averaging operator (GDHFHA) operator for aggregating the dual hesitant fuzzy elements and establish various properties of these operators. A method is also proposed for multi-criteria decision making under dual hesitant fuzzy environment and applied it to teaching quality assessment.

Keywords: Dual hesitant fuzzy set, multi-criteria decision making, generalized dual hesitant fuzzy weighted averaging operator, teaching quality assessment

DOI: 10.3233/IFS-141134

Journal: Journal of Intelligent & Fuzzy Systems, vol. 27, no. 4, pp. 1679-1688, 2014