Soft Computing

, Volume 21, Issue 24, pp 7571–7577 | Cite as

A netting method for clustering-simplified neutrosophic information

Methodologies and Application


To simplify existing clustering algorithms of simplified neutrosophic sets (NSs) (including single-valued NSs and interval NSs), the paper proposes a netting method for clustering-simplified neutrosophic data based on new association coefficients of simplified NSs. In the clustering algorithms, we firstly present new association coefficients between simplified NSs, including an association coefficient between single-valued NSs and an association coefficient between interval NSs. Then, a netting clustering method is presented based on the association coefficient matrix of simplified NSs to cluster simplified neutrosophic data. Finally, an actual example is provided to illustrate the effectiveness and rationality of the proposed netting clustering method under a simplified neutrosophic environment.


Netting method Clustering algorithm Association coefficient Association coefficient matrix Simplified neutrosophic set 


Compliance with ethical standards

Conflicts of interest

The author declares that I have no conflict of interest regarding the publication of this paper.

Human and animal rights

This article does not contain any studies with human participants or animals performed by the author.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2016

Authors and Affiliations

  1. 1.Department of Electrical and Information EngineeringShaoxing UniversityShaoxingPeople’s Republic of China

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