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 …
A maximum self-esteem degree based feedback mechanism for group consensus reaching with the distributed linguistic trust propagation in social network
This paper focuses on consensus reaching process (CRP) under social network in which the
trust relationship expressed by linguistic information. A new feedback mechanism in social …
trust relationship expressed by linguistic information. A new feedback mechanism in social …
Managing multigranular unbalanced hesitant fuzzy linguistic information in multiattribute large-scale group decision making: A linguistic distribution-based approach
With the increase of technological and societal demands, more and more decision makers
are involved in the process of group decision making, which is called large-scale group …
are involved in the process of group decision making, which is called large-scale group …
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 …
Assessing customer satisfaction of O2O takeaway based on online reviews by integrating fuzzy comprehensive evaluation with AHP and probabilistic linguistic term …
In recent years, O2O takeaway has a rapid development with increasingly fierce market
competitions. The online reviews of these takeaway platforms give restaurants an …
competitions. The online reviews of these takeaway platforms give restaurants an …
Consensus and opinion evolution-based failure mode and effect analysis approach for reliability management in social network and uncertainty contexts
As a forward-looking reliability-management engineering technique, failure mode and effect
analysis (FMEA) has been widely utilized to improve the reliability of products, processes …
analysis (FMEA) has been widely utilized to improve the reliability of products, processes …
Exploring the ordinal classifications of failure modes in the reliability management: An optimization-based consensus model with bounded confidences
Failure mode and effect analysis (FMEA) is a system activity that identifies, evaluates and
eliminates potential failure modes (FMs) in a system/process to enhance the quality and …
eliminates potential failure modes (FMs) in a system/process to enhance the quality and …
A cyclic dynamic trust-based consensus model for large-scale group decision making with probabilistic linguistic information
X Tan, J Zhu, FJ Cabrerizo, E Herrera-Viedma - Applied Soft Computing, 2021 - Elsevier
This paper investigates a consensus reaching process (CRP) considering dynamic trust in
large-scale group decision making (LSGDM). In the traditional trust-based consensus …
large-scale group decision making (LSGDM). In the traditional trust-based consensus …
Managing ignorance elements and personalized individual semantics under incomplete linguistic distribution context in group decision making
Linguistic distribution expressions provide a flexible way for decision makers to express their
opinions in linguistic decision making. When working with a linguistic distribution, words …
opinions in linguistic decision making. When working with a linguistic distribution, words …
Investment risk evaluation for new energy resources: An integrated decision support model based on regret theory and ELECTRE III
As conventional energy resources are limited and polluting, new energy resources, being
renewable and environmentally friendly, have been receiving increasing attention in recent …
renewable and environmentally friendly, have been receiving increasing attention in recent …