Affiliations: [a] Intelligent Manufacturing Institute, Hefei University of Technology, Hefei, China
| [b] Institute of Automotive Engineering, Hefei University of Technology, Hefei, China
Correspondence:
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Corresponding author. Guang Xia, Institute of Automotive Engineering, Hefei University of Technology, Hefei 230009, China. E-mail: [email protected].
Abstract: This study examines decision theory based on interval type-2 fuzzy sets with linguistic information for the three-way decision approach by addressing the challenge of uncertainty for information analysis and fusion in subjective decision-making processes. First, the interval type-2 fuzzy linguistic term sets (IT2 FLTSs) are defined to represent and normalize the uncertain preference information in linguistic decision-making. Subsequently, perception computing based on computing with words paradigm is introduced to implement information fusion among different decision-makers in the linguistic information-based fuzzy logic reasoning process. Then, a three-way decision (3WD) theory based on IT2 FLTSs with fuzzy neighborhood covering is proposed, and the corresponded tri-partitioning strategies that satisfy Jaccard similarity of membership distributions are given. Finally, 3WD theory is applied to multi-criteria group decision-making with linguistic terms, and the algorithm steps are illustrated by a promising application under the background of coronavirus disease 2019 to reveal the feasibility and practicability of the proposed approach.
Keywords: Three-way decision, interval type-2
fuzzy set, linguistic term sets, multi-criteria group
decision-making
