[HTML][HTML] A review on trust propagation and opinion dynamics in social networks and group decision making frameworks
On-line platforms foster the communication capabilities of the Internet to develop large-scale
influence networks in which the quality of the interactions can be evaluated based on trust …
influence networks in which the quality of the interactions can be evaluated based on trust …
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 …
Fuzzy Analytic Hierarchy Process: A performance analysis of various algorithms
Abstract Analytical Hierarchical Process (AHP) along with fuzzy set theory has been used
extensively in the Multi-Criteria Decision Making (MCDM) process in which fuzzy numbers …
extensively in the Multi-Criteria Decision Making (MCDM) process in which fuzzy numbers …
[HTML][HTML] Carrying out consensual group decision making processes under social networks using sentiment analysis over comparative expressions
Social networks are the most preferred mean for the people to communicate. Therefore, it is
quite usual that experts use them to carry out Group Decision Making processes. One …
quite usual that experts use them to carry out Group Decision Making processes. One …
A large-scale group decision-making with incomplete multi-granular probabilistic linguistic term sets and its application in sustainable supplier selection
Y Song, G Li - Journal of the Operational Research Society, 2019 - Taylor & Francis
A large amount of stakeholders take part in the decision-making process, usually called a
large-scale group decision-making (LGDM) problem. Some stakeholders may only provide …
large-scale group decision-making (LGDM) problem. Some stakeholders may only provide …
Expected consistency-based emergency decision making with incomplete probabilistic linguistic preference relations
In emergency decision making, it can be difficult for decision-makers (DMs) to identify all
possible scenarios due to a lack of information and the evolution of emergency situations …
possible scenarios due to a lack of information and the evolution of emergency situations …
Large-scale group decision making with multiple stakeholders based on probabilistic linguistic preference relation
Y Song, J Hu - Applied Soft Computing, 2019 - Elsevier
A large number of stakeholders take part in the process of decision making, namely, large-
scale group decision making (LGDM) problems. Every stakeholder utilises a linguistic …
scale group decision making (LGDM) problems. Every stakeholder utilises a linguistic …
Group decision making with double hierarchy hesitant fuzzy linguistic preference relations: Consistency based measures, index and repairing algorithms and decision …
Group decision making, refers to inviting a group of decision makers to evaluate, prioritize or
select the optimal one among some available alternatives in the actual decision making …
select the optimal one among some available alternatives in the actual decision making …
Stable two-sided matching decision making with incomplete fuzzy preference relations: A disappointment theory based approach
Practical two-sided matching decision making problems, such as marriage matching and
person-job matching, are often characterized by a lack of knowledge and time constraints …
person-job matching, are often characterized by a lack of knowledge and time constraints …
Uncertainty data in interval-valued fuzzy set theory
B Pękala - Properties, Algorithms and Applications, Studies in …, 2019 - Springer
The series “Studies in Fuzziness and Soft Computing” contains publications on various
topics in the area of soft computing, which include fuzzy sets, rough sets, neural networks …
topics in the area of soft computing, which include fuzzy sets, rough sets, neural networks …