Distributed linguistic representations in decision making: Taxonomy, key elements and applications, and challenges in data science and explainable artificial …
Distributed linguistic representations are powerful tools for modelling the uncertainty and
complexity of preference information in linguistic decision making. To provide a …
complexity of preference information in linguistic decision making. To provide a …
An overview on managing additive consistency of reciprocal preference relations for consistency-driven decision making and fusion: Taxonomy and future directions
The reciprocal preference relation (RPR) is a powerful tool to represent decision makers'
preferences in decision making problems. In recent years, various types of RPRs have been …
preferences in decision making problems. In recent years, various types of RPRs have been …
Consensus-trust driven bidirectional feedback mechanism for improving consensus in social network large-group decision making
This paper proposes a consensus-trust driven framework of bidirectional interaction for
social network large-group decision making. Firstly, the concepts of interaction consensus …
social network large-group decision making. Firstly, the concepts of interaction consensus …
Personalized individual semantics-based consistency control and consensus reaching in linguistic group decision making
Consistency and consensus are important issues for linguistic group decision making
(GDM), which have been extensively studied by scholars. Nevertheless, most of previous …
(GDM), which have been extensively studied by scholars. Nevertheless, most of previous …
An integrated approach to green supplier selection based on the interval type-2 fuzzy best-worst and extended VIKOR methods
Green supply chain management, which considers both the environment and supply chain
management, is becoming a hot topic in modern operations management. In a …
management, is becoming a hot topic in modern operations management. In a …
Personalized individual semantics based consensus reaching process for large-scale group decision making with probabilistic linguistic preference relations and …
SP Wan, J Yan, JY Dong - Expert Systems with Applications, 2022 - Elsevier
This paper develops a new personalized individual semantic (PIS) based consensus
reaching process (CRP) for large-scale group decision making (LSGDM) with probabilistic …
reaching process (CRP) for large-scale group decision making (LSGDM) with probabilistic …
A consensus model for large-scale linguistic group decision making with a feedback recommendation based on clustered personalized individual semantics and …
In linguistic large-scale group decision making (LSGDM), it is often necessary to achieve a
consensus. Particularly, when computing with words and linguistic decision, we must keep …
consensus. Particularly, when computing with words and linguistic decision, we must keep …
Consensus reaching for MAGDM with multi-granular hesitant fuzzy linguistic term sets: a minimum adjustment-based approach
Due to the uncertainty of decision environment and differences of decision makers' culture
and knowledge background, multi-granular HFLTSs are usually elicited by decision makers …
and knowledge background, multi-granular HFLTSs are usually elicited by decision makers …
Personalized fuzzy semantic model of PHFLTS: Application to linguistic group decision making
The proportional hesitant fuzzy linguistic term set (PHFLTS) has been effectively employed
in analyzing the group's hesitancy in linguistic group decision making (LGDM). The …
in analyzing the group's hesitancy in linguistic group decision making (LGDM). The …
Managing personalized individual semantics and consensus in linguistic distribution large-scale group decision making
A linguistic distribution assessment is an effective approach to represent uncertain
preferences in large-scale group decision making (LSGDM). The same word often signifies …
preferences in large-scale group decision making (LSGDM). The same word often signifies …