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2020 | OriginalPaper | Chapter

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

Authors : Rajkrishna Mondal, Akshay Verma, Pushpendra Kumar Gupta

Published in: Advances in VLSI, Communication, and Signal Processing

Publisher: Springer Singapore

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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.

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Metadata
Title
A Medical Diagnostic Information System with Computing with Words Using Hesitant Fuzzy Sets
Authors
Rajkrishna Mondal
Akshay Verma
Pushpendra Kumar Gupta
Copyright Year
2020
Publisher
Springer Singapore
DOI
https://doi.org/10.1007/978-981-32-9775-3_86