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Correlation Measures of Dual Hesitant Fuzzy Sets

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  • Lei Wang
  • Mingfang Ni
  • Lei Zhu

Abstract

The dual hesitant fuzzy sets (DHFSs) were proposed by Zhu et al. (2012), which encompass fuzzy sets, intuitionistic fuzzy sets, hesitant fuzzy sets, and fuzzy multisets as special cases. Correlation measures analysis is an important research topic. In this paper, we define the correlation measures for dual hesitant fuzzy information and then discuss their properties in detail. One numerical example is provided to illustrate these correlation measures. Then we present a direct transfer algorithm with respect to the problem of complex operation of matrix synthesis when reconstructing an equivalent correlation matrix for clustering DHFSs. Furthermore, we prove that the direct transfer algorithm is equivalent to transfer closure algorithm, but its asymptotic time complexity and space complexity are superior to the latter. Another real world example, that is, diamond evaluation and classification, is employed to show the effectiveness of the association coefficient and the algorithm for clustering DHFSs.

Suggested Citation

  • Lei Wang & Mingfang Ni & Lei Zhu, 2013. "Correlation Measures of Dual Hesitant Fuzzy Sets," Journal of Applied Mathematics, Hindawi, vol. 2013, pages 1-12, November.
    • Handle: RePEc:hin:jnljam:593739
    DOI: 10.1155/2013/593739
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    Cited by:

    1. Wu, Yunna & Zhang, Ting & Xu, Chuanbo & Zhang, Xiaoyu & Ke, Yiming & Chu, Han & Xu, Ruhang, 2019. "Location selection of seawater pumped hydro storage station in China based on multi-attribute decision making," Renewable Energy, Elsevier, vol. 139(C), pages 410-425.

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