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The International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery

ICNC-FSKD 2019: Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery pp 991–999Cite as

Interval Valued Generalised Fuzzy Soft Expert Set and Its Application

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

Abstract

The purpose of this paper is to combine the work of interval-valued fuzzy sets and fuzzy soft expert sets, from which we can obtain a new concept: interval-valued generalised fuzzy soft expert sets. We also introduce some of its operations: complement, union, intersection and study their properties. Then, we use interval-valued generalised fuzzy soft expert sets to analyze a decision-making problem.

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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). Interval Valued Generalised Fuzzy Soft Expert Set and Its Application. 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_106

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