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A Method Based on IA Operator for Multiple Attribute Group Decision Making with Uncertain Linguistic Information

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Fuzzy Systems and Knowledge Discovery (FSKD 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3613))

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Abstract

In this paper, we study the multiple attribute group decision making (MAGDM) problems, in which the information about the attribute weights and the expert weights are interval numbers, and the attribute values take the form of uncertain linguistic information. We introduce some operational laws of uncertain linguistic variables and a formula for comparing two uncertain linguistic variables, and propose a new aggregation operator called interval aggregation (IA) operator. Based on the IA operatorand the formula for the comparison between two uncertain linguistic variables, we develop a method for MAGDM with uncertain linguistic information. Finally, an illustrative example is given to verify the developed method.

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Author information

Authors and Affiliations

  1. College of Economics and Management, Southeast University, Nanjing, Jiangsu, 210096, China

    Zeshui Xu

Authors
  1. Zeshui Xu
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Editor information

Editors and Affiliations

  1. School of Electrical and Electronic Engineering, Nanyang Technological University, Block S1, Nanyang Avenue, 639798, Singapore

    Lipo Wang

  2. Honda Research Institute Europe GmbH, Offenbach/Main, Germany

    Yaochu Jin

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© 2005 Springer-Verlag Berlin Heidelberg

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Xu, Z. (2005). A Method Based on IA Operator for Multiple Attribute Group Decision Making with Uncertain Linguistic Information. In: Wang, L., Jin, Y. (eds) Fuzzy Systems and Knowledge Discovery. FSKD 2005. Lecture Notes in Computer Science(), vol 3613. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11539506_85

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  • DOI: https://doi.org/10.1007/11539506_85

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28312-6

  • Online ISBN: 978-3-540-31830-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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