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On generalized correlation coefficients of the hesitant fuzzy sets with their application to clustering analysis

  • Surender SinghEmail author
  • Sumita Lalotra
Article
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Abstract

Hesitant fuzzy sets (HFSs) are considered as a powerful tool to deal with uncertain information in the problems of group decision making (GDM). To measure the degree of association between the two HFSs various correlation coefficients exist in the literature. We derive one parametric and two parametric generalizations of these correlation coefficients and apply them to clustering analysis in hesitant fuzzy settings. We also investigate the effectiveness of the proposed generalized correlation coefficients while dealing with a real-world problem by clustering analysis.

Keywords

HFS Generalized correlation coefficient GDM Clustering 

Notes

Acknowledgements

The authors would like to thank the anonymous referees for their helpful and constructive suggestions.

Compliance with ethical standards

Conflict of interest

We declare that authors have no conflict of interest.

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Copyright information

© SBMAC - Sociedade Brasileira de Matemática Aplicada e Computacional 2019

Authors and Affiliations

  1. 1.School of MathematicsShri Mata Vaishno Devi UniversityKatraIndia

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