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Parameter Reduction of Intuitionistic Fuzzy Soft Sets and Its Related Algorithms

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Proceedings of the 4th International Conference on Frontiers in Intelligent Computing: Theory and Applications (FICTA) 2015

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 404))

Abstract

Contribution of intuitionistic fuzzy soft set (IFSS) in uncertain real-life applications is inevitable. Computation with IFSS may be complicated by the use of less important parameters. However, there has been a little focus on parameter reduction of IFSSs. In this paper, we introduce two different parameter reduction algorithms in IFSSs to satisfy the different needs of decision makers. The first algorithm is based on selection of a set of parameters whose combined contribution is less important in the decision-making process. The second approach selects parameter(s) which has less deviation in comparison to the other parameters. Finally, the proposed algorithms have been demonstrated using illustrative numerical examples. This study also preserves the decision abilities while reducing the redundant parameters.

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Authors and Affiliations

  1. Department of MCA, Bengal College of Engineering and Technology, Durgapur, 12, India

    Sumonta Ghosh

  2. Department of C.S.E., Dr. B. C. Roy Engineering College, Durgapur, 6, India

    Sujit Das

Authors
  1. Sumonta Ghosh
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  2. Sujit Das
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Corresponding author

Correspondence to Sumonta Ghosh .

Editor information

Editors and Affiliations

  1. Machine Intelligence Unit, ISI, Kolkata, West Bengal, India

    Swagatam Das

  2. Computer Science and Engineering, National Institute of Technology, Durgapur, West Bengal, India

    Tandra Pal

  3. National Institute of Technology, Durgapur, West Bengal, India

    Samarjit Kar

  4. Deparment of CSE, Anil Neerukonda Ins. of Tech. & Sci., Vishakapatnam, India

    Suresh Chandra Satapathy

  5. Kalyani University, Nadia, West Bengal, India

    Jyotsna Kumar Mandal

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Ghosh, S., Das, S. (2016). Parameter Reduction of Intuitionistic Fuzzy Soft Sets and Its Related Algorithms. In: Das, S., Pal, T., Kar, S., Satapathy, S., Mandal, J. (eds) Proceedings of the 4th International Conference on Frontiers in Intelligent Computing: Theory and Applications (FICTA) 2015. Advances in Intelligent Systems and Computing, vol 404. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2695-6_34

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  • DOI: https://doi.org/10.1007/978-81-322-2695-6_34

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2693-2

  • Online ISBN: 978-81-322-2695-6

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