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

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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