Hesitant fuzzy soft decision making methods based on WASPAS, MABAC and COPRAS with combined weights

Article type: Research Article

Authors: Peng, Xindong^{; *} | Dai, Jingguo

Affiliations: School of Information Science and Engineering, Shaoguan University, Shaoguan, China

Correspondence: [*] Corresponding author. Xindong Peng, School of Information Science and Engineering, Shaoguan University, Shaoguan, China. Tel.: +86 15889857163; E-mails: [email protected], [email protected].

Abstract: This paper presents three novel hesitant fuzzy soft set (HFSS) methods. First, the objective weights of various parameters are determined via Shannon entropy theory. Then, we develop the combined weights, which can show both the subjective information and the objective information. Later, we propose three algorithms to solve hesitant fuzzy soft decision making problem by Multi-Attributive Border Approximation area Comparison (MABAC), Weighted Aggregated Sum Product Assessment (WASPAS) and Complex Proportional Assessment (COPRAS). Finally, the effectiveness and feasibility of approaches are demonstrated by some numerical examples.

Keywords: Hesitant fuzzy soft set, combined weighed, MABAC, WASPAS, COPRAS

DOI: 10.3233/JIFS-17124

Journal: Journal of Intelligent & Fuzzy Systems, vol. 33, no. 2, pp. 1313-1325, 2017