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A Medical Diagnostic Information System with Computing with Words Using Hesitant Fuzzy Sets

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Part of the Lecture Notes in Electrical Engineering book series (LNEE,volume 587)

Abstract

Handling uncertainty in a medical diagnostic information system is a challenging and difficult problem. The recent Hesitant Fuzzy set has been introduced to control hesitant situations in which experts have hesitated about their opinion for rating a state of the system. Most of the diagnostics is discussed in a quantitative setting. But in some situations, it is difficult for rating quantitatively and calculation complexity is higher than the qualitative setting. In this article, to overcome such difficulty, we have used the Hesitant Fuzzy Linguistic Approach to design this diagnostic information system.

Keywords

  • Computing with words
  • Diagnostic information system
  • Hesitant Fuzzy sets
  • Linguistic decision-making

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Acknowledgements

The authors would like to sincerely thank the Medical Expert namely Dr. Ankon Mondal, General Physician for their kind suggestions and valuable observations for preparing the present research article.

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Correspondence to Rajkrishna Mondal .

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Mondal, R., Verma, A., Gupta, P.K. (2020). A Medical Diagnostic Information System with Computing with Words Using Hesitant Fuzzy Sets. In: Dutta, D., Kar, H., Kumar, C., Bhadauria, V. (eds) Advances in VLSI, Communication, and Signal Processing. Lecture Notes in Electrical Engineering, vol 587. Springer, Singapore. https://doi.org/10.1007/978-981-32-9775-3_86

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  • DOI: https://doi.org/10.1007/978-981-32-9775-3_86

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