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Multicriteria Decision Making Based on Interval-Valued Intuitionistic Fuzzy Sets with a New Kind of Accuracy Function

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Quantitative Logic and Soft Computing 2016

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 510))

Abstract

In this paper, we propose a new accuracy function based on interval-valued intuitionistic fuzzy sets, then use this new accuracy function to multicriteria decision making method. By comparing the new accuracy function with other accuracy function, some examples are given. While aggregating fuzzy information, we use the interval-valued intuitionistic fuzzy weighted aggregation operators, and rank the fuzzy information by the proposed accuracy function, which overcomes some difficulties arising in some existing accuracy functions for determining rank of interval-valued intuitionistic fuzzy information. Finally, the effectiveness and practicability of the proposed method are illustrated by examples.

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Acknowledgments

This work is supported by the National Natural Science Foundation of China (Nos. 61273018 and 61302190).

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Authors and Affiliations

  1. Department of Mathematics, China Jiliang University, Hangzhou, 310018, People’s Republic of China

    Bei Liu

  2. School of Sciences, China Jiliang University, Hangzhou, 310018, People’s Republic of China

    Min-Xia Luo

Authors
  1. Bei Liu
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  2. Min-Xia Luo
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Corresponding author

Correspondence to Min-Xia Luo .

Editor information

Editors and Affiliations

  1. Zhejiang, Zhejiang Sci-Tech University Zhejiang, Hangzhou, China

    Tai-He Fan

  2. Fujian, Jimei University Fujian, Xiamen, China

    Shui-Li Chen

  3. Zhejiang, Zhejiang Sci-Tech University Zhejiang, Hangzhou, China

    San-Min Wang

  4. Yanta, Shaanxi Normal University Yanta, Xi’an, China

    Yong-Ming Li

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Liu, B., Luo, MX. (2017). Multicriteria Decision Making Based on Interval-Valued Intuitionistic Fuzzy Sets with a New Kind of Accuracy Function. In: Fan, TH., Chen, SL., Wang, SM., Li, YM. (eds) Quantitative Logic and Soft Computing 2016. Advances in Intelligent Systems and Computing, vol 510. Springer, Cham. https://doi.org/10.1007/978-3-319-46206-6_45

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  • DOI: https://doi.org/10.1007/978-3-319-46206-6_45

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-46205-9

  • Online ISBN: 978-3-319-46206-6

  • eBook Packages: EngineeringEngineering (R0)

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