Correlation coefficients of hesitant fuzzy sets and their applications to clustering analysis

491 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Hesitant Fuzzy Sets: State of the Art and Future Directions (2014, background): “(41) can be found in [8].”
Qualitative decision making with correlation coefficients of hesitant fuzzy linguistic term sets (2015, methodology): “The correlation coefficient is proposed to measure the relationship between two data sets and the correlation coefficients of FSs, IFSs, IVIFSs and HFSs have already been applied widely in many domains.”
Information measures for hesitant fuzzy sets and interval-valued hesitant fuzzy sets (2013, methodology): “[6], which involves the correlation coefficient of HFSs, we first develop an algorithm to do clustering under hesitant fuzzy environments by the use of the similarity measure of HFSs.”
Interval-valued hesitant fuzzy linguistic sets and their applications in multi-criteria decision-making problems (2014, unknown): “[7] discussed the information measures of HFSs.”