Three-way decision theory based on interval type-2 fuzzy linguistic term sets
Journal of Intelligent and Fuzzy Systems
; 43(4):3911-3932, 2022.
Article
in English
| Scopus | ID: covidwho-2022588
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. © 2022 - IOS Press. All rights reserved.
interval type-2 fuzzy set; linguistic term sets; multi-criteria group decision-making; Three-way decision; Decision making; Decision theory; Fuzzy logic; Fuzzy sets; Group theory; Uncertainty analysis; Decision-making process; Fuzzy linguistics; Interval type-2 fuzzy; Interval type-2 fuzzy sets; Linguistic information; Linguistic term set; Linguistic terms; Multi-criteria group decision makings; Uncertainty; Linguistics
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
Journal of Intelligent and Fuzzy Systems
Year:
2022
Document Type:
Article
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