A hesitant fuzzy linguistic multi-granularity decision making model based on distance measures

Article type: Research Article

Authors: Meng, Fanyong | Chen, Xiaohong

Affiliations: Business School, Central South University, Changsha, China

Note: [] Corresponding author. Fanyong Meng, Business School, Central South University, Changsha 410083, China. Tel.: +86 182542 98903; E-mail: [email protected]

Abstract: With respect to hesitant fuzzy linguistic term sets, a distance measure that can be seen as an extension of some linguistic distance measures is presented. Then, two generalized hesitant fuzzy linguistic weighted distance measures named the generalized hesitant fuzzy linguistic weighted distance (GHFLWD) measure and the generalized hesitant fuzzy linguistic 2-additive Shapley weighted distance (GHFLASWD) measure are defined, by which the comprehensive attribute values can be obtained. To consider the importance of the ordered positions and their internal interactions, the generalized hesitant fuzzy linguistic 2-additive Choquet Shapley weighted distance (GHFLACSWD) measure and the generalized hesitant fuzzy linguistic 2-additive Shapley Choquet weighted distance (GHFLASCWD) measure are presented. To cope with the situation where the weight information is incompletely known, models for the optimal weight vectors are constructed. Meanwhile, an approach to multi-granularity decision making with hesitant fuzzy linguistic preferences is proposed. Finally, an example is provided to illustrate the concrete application of the proposed method.

Keywords: Multi-granularity decision making, hesitant fuzzy linguistic term set, distance measure, 2-additive measure

DOI: 10.3233/IFS-141435

Journal: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 4, pp. 1519-1531, 2015