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Mechanical Engineering and Technology pp 193–198Cite as

An Application of Generalized Interval-Valued Intuitionistic Fuzzy Soft Sets in a Decision Making Problem

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Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 125))

Abstract

We present a method of object recognition from an imprecise multiobserver data, which extends the work of Roy and Maji [11] to generalized interval-valued intuitionistic fuzzy soft set theory. The method involves the construction of Comparison Table from a generalized intuitionistic fuzzy soft set in a parametric sense for decision making.

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Author information

Authors and Affiliations

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

    Young Chel Kwun

  2. Department of Applied Mathematics, Pukyong National University, Busan, 608-737, Korea

    Jin Han Park

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

    Ja Hong Koo

  4. Department of Chemistry, Dong-A University, Busan, 604-714, Korea

    Yong Kyun Lee

Authors
  1. Young Chel Kwun
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  2. Jin Han Park
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  3. Ja Hong Koo
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  4. Yong Kyun Lee
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Editor information

Editors and Affiliations

  1. Central China Normal University, Lvting Yajing, Hongshan Qu 10-3-102, Wuhan, 430079, China, People's Republic

    Tianbiao Zhang

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© 2012 Springer-Verlag GmbH Berlin Heidelberg

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Kwun, Y.C., Park, J.H., Koo, J.H., Lee, Y.K. (2012). An Application of Generalized Interval-Valued Intuitionistic Fuzzy Soft Sets in a Decision Making Problem. In: Zhang, T. (eds) Mechanical Engineering and Technology. Advances in Intelligent and Soft Computing, vol 125. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27329-2_27

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  • DOI: https://doi.org/10.1007/978-3-642-27329-2_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27328-5

  • Online ISBN: 978-3-642-27329-2

  • eBook Packages: EngineeringEngineering (R0)

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