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 …
Data-driven method to learning personalized individual semantics to support linguistic multi-attribute decision making
In parallel with the development of information and network technology, large amounts of
data are being generated by the Internet, and data-driven methodologies are now often …
data are being generated by the Internet, and data-driven methodologies are now often …
Managing multigranular linguistic distribution assessments in large-scale multiattribute group decision making
Linguistic large-scale group decision making (LGDM) problems are more and more common
nowadays. In such problems a large group of decision makers are involved in the decision …
nowadays. In such problems a large group of decision makers are involved in the decision …
An overview of granular computing in decision-making: Extensions, applications, and challenges
The management of uncertainty in decision-making problems remains a very challenging
and timely research issue despite many proposals. An interesting topic in this area in recent …
and timely research issue despite many proposals. An interesting topic in this area in recent …
Sustainable building material selection: A QFD-and ELECTRE III-embedded hybrid MCGDM approach with consensus building
Industrialization and urbanization have led to the rapid development of the building industry.
To alleviate the adverse impact on the environment, natural resources, health and comfort of …
To alleviate the adverse impact on the environment, natural resources, health and comfort of …
Connecting the linguistic hierarchy and the numerical scale for the 2-tuple linguistic model and its use to deal with hesitant unbalanced linguistic information
The 2-tuple linguistic representation model is widely used as a basis for computing with
words (CW) in linguistic decision making problems. Two different models based on linguistic …
words (CW) in linguistic decision making problems. Two different models based on linguistic …
An overview on fuzzy modelling of complex linguistic preferences in decision making
Decision makers involved in complex decision making problems usually provide information
about their preferences by eliciting their knowledge with different assessments. Usually, the …
about their preferences by eliciting their knowledge with different assessments. Usually, the …
Sentiment analysis based multi-person multi-criteria decision making methodology using natural language processing and deep learning for smarter decision aid …
Decision making models are constrained by taking the expert evaluations with pre-defined
numerical or linguistic terms. We claim that the use of sentiment analysis will allow decision …
numerical or linguistic terms. We claim that the use of sentiment analysis will allow decision …
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 …