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Some New Distance Measures for Generalized Hesitant Fuzzy Sets

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Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1074))

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Abstract

Distance and similarity measures are very important topics in fuzzy set theory. In this paper, we propose some new distance measures for generalized hesitant fuzzy sets. We investigate the connections of the aforementioned distance measures and further develop a number of generalized hesitant ordered weighted distance measures.

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Acknowledgment

This paper is supported by the Project of Shandong Province Higher Educational Science and Technology Program 2016 (J16LI08).

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Authors and Affiliations

  1. School of Mathematical Sciences, University of Jinan, Jinan, 250022, China

    Chen Bin

Authors
  1. Chen Bin
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Correspondence to Chen Bin .

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Editors and Affiliations

  1. School of Computer Science and Engineering, The University of Aizu, Aizu-Wakamatsu, Fukushima, Japan

    Yong Liu

  2. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore

    Lipo Wang

  3. Computer Science and Mathematics, University of Sao Paulo, Ribeirao Preto, Brazil

    Liang Zhao

  4. School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China

    Zhengtao Yu

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Bin, C. (2020). Some New Distance Measures for Generalized Hesitant Fuzzy Sets. In: Liu, Y., Wang, L., Zhao, L., Yu, Z. (eds) Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery. ICNC-FSKD 2019. Advances in Intelligent Systems and Computing, vol 1074. Springer, Cham. https://doi.org/10.1007/978-3-030-32456-8_82

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