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Fuzzy N-soft Ordered Semigroups with Application

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Learning Technologies and Systems (SETE 2020, ICWL 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12511))

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Abstract

In this article, we introduce a new hybrid model called fuzzy N-soft ordered semigroup of S by a suitable combination of ordered semigroup S with fuzzy N-soft sets. Some useful operations and properties are given. Moreover, a novel multi-attribute decision making method combined with ordered semigroups is introduced inside we added the definition of grades that provides a finer granularity. This method is more cautious and reasonable.

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Author information

Authors and Affiliations

  1. Northeastern University at Qinhuangdao, Princeton, 060004, HeBei, China

    Ziyue Chen, Jianbo Liu, Yanan Chen & Yanyan Zhang

Authors
  1. Ziyue Chen
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  2. Jianbo Liu
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  3. Yanan Chen
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  4. Yanyan Zhang
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Corresponding authors

Correspondence to Ziyue Chen or Jianbo Liu .

Editor information

Editors and Affiliations

  1. Ningbo Institute of Industrial Technology, Ningbo, China

    Chaoyi Pang

  2. College of Computer Science, Zhejiang University, Hangzhou, China

    Yunjun Gao

  3. Monash University, Clayton, VIC, Australia

    Guanliang Chen

  4. Faculty of Automation, Computers and Electronics, University of Craiova, Craiova, Romania

    Elvira Popescu

  5. Department of Physics, Zhejiang University, Hangzhou, China

    Lu Chen

  6. School of Computer Science, South China Normal University, Guangzhou, China

    Tianyong Hao

  7. Zhejiang University, Ningbo, China

    Bailing Zhang

  8. Universidad Internacional De La Rioja, Logroño, Spain

    Silvia Margarita Baldiris Navarro

  9. Department of Computing, Hong Kong Polytechnic University, Kowloon, Hong Kong

    Qing Li

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Chen, Z., Liu, J., Chen, Y., Zhang, Y. (2021). Fuzzy N-soft Ordered Semigroups with Application. In: Pang, C., et al. Learning Technologies and Systems. SETE ICWL 2020 2020. Lecture Notes in Computer Science(), vol 12511. Springer, Cham. https://doi.org/10.1007/978-3-030-66906-5_16

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  • DOI: https://doi.org/10.1007/978-3-030-66906-5_16

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-66905-8

  • Online ISBN: 978-3-030-66906-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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