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 …
Consensus reaching for group decision making with multi-granular unbalanced linguistic information: A bounded confidence and minimum adjustment-based …
In group decision making problems, there exist the situations that decision makers may use
unbalanced linguistic term sets that are not uniformly and symmetrically distributed to …
unbalanced linguistic term sets that are not uniformly and symmetrically distributed to …
A novel hybrid decision making approach for the strategic selection of wind energy projects
Wind energy projects provide clean energy so that they should be increased to reach the
sustainable development goals of the countries. However, current decision-making process …
sustainable development goals of the countries. However, current decision-making process …
Consensus reaching with non-cooperative behavior management for personalized individual semantics-based social network group decision making
Y Gao, Z Zhang - Journal of the Operational Research Society, 2021 - Taylor & Francis
Leveraging social network trust relationships among experts to reach consensus has
become a popular topic in linguistic group decision making (GDM). However, in linguistic …
become a popular topic in linguistic group decision making (GDM). However, in linguistic …
[HTML][HTML] Consensus reaching in social network group decision making: Research paradigms and challenges
In social network group decision making (SNGDM), the consensus reaching process (CRP)
is used to help decision makers with social relationships reach consensus. Many CRP …
is used to help decision makers with social relationships reach consensus. Many CRP …
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 …
Two-sided matching decision making with multi-granular hesitant fuzzy linguistic term sets and incomplete criteria weight information
Two-sided matching decision making (TSMDM) problems exist widely in human being's
daily life. For practical TSMDM problems, matching objects with different culture and …
daily life. For practical TSMDM problems, matching objects with different culture and …
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 …
Hesitant fuzzy linguistic term set and its application in decision making: a state-of-the-art survey
The hesitant fuzzy linguistic term set (HFLTS) has gained great success as it can be used to
represent several linguistic terms or comparative linguistic expressions together with some …
represent several linguistic terms or comparative linguistic expressions together with some …
Large-group failure mode and effects analysis for risk management of angle grinders in the construction industry
Accidents associated with the use of construction equipment are among the leading causes
of fatal injuries in the construction industry. In particular, angle grinders are associated with a …
of fatal injuries in the construction industry. In particular, angle grinders are associated with a …