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A netting method for clustering-simplified neutrosophic information

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Abstract

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.

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Authors and Affiliations

  1. Department of Electrical and Information Engineering, Shaoxing University, 508 Huancheng West Road, Shaoxing, 312000, Zhejiang Province, People’s Republic of China

    Jun Ye

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  1. Jun Ye
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Correspondence to Jun Ye.

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

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

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Communicated by V. Loia.

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Ye, J. A netting method for clustering-simplified neutrosophic information. Soft Comput 21, 7571–7577 (2017). https://doi.org/10.1007/s00500-016-2310-z

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  • DOI: https://doi.org/10.1007/s00500-016-2310-z

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