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Hesitant Fuzzy Soft Set Theory and Its Application in Decision Making

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Artificial Intelligence and Evolutionary Computations in Engineering Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 517))

Abstract

There are several models of uncertainty found in the literature like fuzzy set, rough set, soft set and hesitant fuzzy set. Also, several hybrid models have come up as a combination of these models and have been found to be more useful than the individual models. In everyday life we make many decisions. Making efficient decisions under uncertainty needs better techniques. Many such techniques have been developed in the recent past. These techniques involve soft sets and fuzzy sets. In this paper we redefined the hesitant fuzzy soft sets (HFSS) with the help of membership function. We also provide a decision making algorithm.

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Authors and Affiliations

  1. School of Computing Science, VIT University, Vellore, Tamilnadu, India

    T. R. Sooraj, R. K. Mohanty & B. K. Tripathy

Authors
  1. T. R. Sooraj
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  2. R. K. Mohanty
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  3. B. K. Tripathy
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Corresponding author

Correspondence to T. R. Sooraj .

Editor information

Editors and Affiliations

  1. Department of Electrical and Electronics Engineering, SRM University, Chennai, Tamil Nadu, India

    Subhransu Sekhar Dash

  2. Department of Electrical and Electronics Engineering, SRM University, Chennai, Tamil Nadu, India

    K. Vijayakumar

  3. Department of Electrical and Electronics Engineering, Indian Institute of Technology Delhi, New Delhi, India

    Bijaya Ketan Panigrahi

  4. Electronics and Communication Sciences Unit, Indian Statistical Institute, Kolkata, West Bengal, India

    Swagatam Das

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© 2017 Springer Nature Singapore Pte Ltd.

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Sooraj, T.R., Mohanty, R.K., Tripathy, B.K. (2017). Hesitant Fuzzy Soft Set Theory and Its Application in Decision Making. In: Dash, S., Vijayakumar, K., Panigrahi, B., Das, S. (eds) Artificial Intelligence and Evolutionary Computations in Engineering Systems. Advances in Intelligent Systems and Computing, vol 517. Springer, Singapore. https://doi.org/10.1007/978-981-10-3174-8_28

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  • DOI: https://doi.org/10.1007/978-981-10-3174-8_28

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3173-1

  • Online ISBN: 978-981-10-3174-8

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