A conceptual clustering method for large-scale group decision-making with linguistic truth-valued lattice implication algebra

Kuo Pang, Yifan Lu, Luis Martínez-López, Witold Pedrycz, Li Zou, Mingyu Lu

Abstract: Highlights•Using conceptual clustering for the LSGDM problem.•Linguistic concepts are provided as explanations for the clustering results.•The comparable and incomparable linguistic information is handled in LSGDM.•A novel linguistic concept lattice-based LSGDM approach is proposed.