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Liu, H. and Cocea, M. (2017) Fuzzy Information Granulation towards Interpretable Sentiment Analysis. Granular Computing, 2, 289-302.
https://link.springer.com/article/10.1007/s41066-017-0043-8
https://doi.org/10.1007/s41066-017-0043-8

has been cited by the following article:

• TITLE: Fuzzy and Reflection in the Construction of a Medical Expert System

  AUTHORS: Boris A. Kobrinskii

  KEYWORDS: Fuzzy, Confidence Factors, Reflection, Health Intermediate States, Visual Images

  JOURNAL NAME: Journal of Software Engineering and Applications, Vol.13 No.2, February 29, 2020

  ABSTRACT: The fuzzy of symptoms (including visual images), representations and assessments in medicine correspond to the peculiarities of the picture of the world of the patient and the physician taking into account the influence of reflection. The continuum of intermediate characteristics of the signs creates serious difficulty for their assessment by physicians. Experts’ confidence factors not only for linguistic features, but also for visual images can help increase the hypothesis quality in intelligent medical diagnostic systems.