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Intuitionistic Hesitant Fuzzy Soft Set 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, intuitionistic fuzzy 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 intuitionistic fuzzy sets. It is well known that intuitionistic hesitant fuzzy sets are more general than intuitionistic fuzzy sets. In this paper, we define intuitionistic hesitant fuzzy soft sets (IHFSS) and we also propose a decision making technique, which extends some of the recently developed algorithms. We also provide an application from real-life situations, which illustrates the working of the algorithm and its efficiency over the other algorithms.

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Author information

Authors and Affiliations

  1. School of Computer Science and Engineering, VIT University, Vellore, Tamilnadu, India

    R. K. Mohanty & B. K. Tripathy

Authors
  1. R. K. Mohanty
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  2. B. K. Tripathy
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Corresponding author

Correspondence to R. K. Mohanty .

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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Mohanty, R.K., Tripathy, B.K. (2017). Intuitionistic Hesitant Fuzzy Soft Set 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_20

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  • DOI: https://doi.org/10.1007/978-981-10-3174-8_20

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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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