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2-Tuple Prioritized Weighted Harmonic Operator and Its Use in Group Decision Making

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Neural Information Processing (ICONIP 2017)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10636))

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Abstract

In this paper, we develop a 2-tuple prioritized weighted harmonic (2TPWH) operator and discuss its desirable properties such as idemtopency, boundedness and monotonicity. Then, we apply the 2TPWH operator to propose an approach to multiple attribute group decision making, with 2-tuple linguistic information, in which the decision makers and attributes are in different priority levels. Finally, an example is used to illustrate the applicability of the proposed approach.

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Author information

Authors and Affiliations

  1. Department of Applied Math., Pukyong National University, Busan, 48513, South Korea

    ** Han Park & Seung Bin Lee

  2. Department of Fiber Plastic Design, Dong-A University, Busan, 604-714, South Korea

    Ja Hong Koo

  3. Department of Mathematics, Dong-A University, Busan, 604-714, South Korea

    Young Chel Kwun

Authors
  1. ** Han Park
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  2. Seung Bin Lee
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  3. Ja Hong Koo
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  4. Young Chel Kwun
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Corresponding author

Correspondence to ** Han Park .

Editor information

Editors and Affiliations

  1. Guangdong University of Technology, Guangzhou, China

    Derong Liu

  2. Guangdong University of Technology, Guangzhou, China

    Shengli **e

  3. South China University of Technology, Guangzhou, China

    Yuanqing Li

  4. Institute of Automation, Chinese Academy of Sciences, Bei**g, China

    Dongbin Zhao

  5. King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia

    El-Sayed M. El-Alfy

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Park, J.H., Lee, S.B., Koo, J.H., Kwun, Y.C. (2017). 2-Tuple Prioritized Weighted Harmonic Operator and Its Use in Group Decision Making. In: Liu, D., **e, S., Li, Y., Zhao, D., El-Alfy, ES. (eds) Neural Information Processing. ICONIP 2017. Lecture Notes in Computer Science(), vol 10636. Springer, Cham. https://doi.org/10.1007/978-3-319-70090-8_93

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  • DOI: https://doi.org/10.1007/978-3-319-70090-8_93

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-70089-2

  • Online ISBN: 978-3-319-70090-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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