A social network analysis trust–consensus based approach to group decision-making problems with interval-valued fuzzy reciprocal preference relations

A hybrid approach to the sentiment analysis problem at the sentence level

“…In addition, in the presence of a proper fuzzy logic system, deductions can also be made out of facts expressed in words or determined via the SA approach presented here. In conjunction with social network analysis (SNA) [63,[66][67][68], it could be possible for a company, for marketing purposes for example, to identify the most influential nodes in a network that have very or most positive sentiment towards a particular product [47][48][49].…”

Multiplicative consistency of intuitionistic reciprocal preference relations and its application to missing values estimation and consensus building

“…On the other hand, similarity interpreted as a measure of general or widespread agreement, based on the use of a metric or distance function, is usually regarded as a criteria to use in measuring consensus [15,18,40,50]. By combining both consistency and similarity functions, Herrera-Viedma et al [29] developed a feedback mechanism to provide advice to experts in order to increase the consensus level of the group.…”

A trust induced recommendation mechanism for reaching consensus in group decision making

“…Other priori factors influencing trust relationship, such as historical interaction and reputation of experts are not considered [38,39]. A potential avenue to explore in future to address this issue is to construct trust relationship by combining a posteriori and a priori trust information to enhance the reliability of trust relationship in the recommendation mechanism in GDM.…”