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Fuzzy Deep Learning in Text Processing- An Application to Medical Expert System

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  • Poli Venkata Subba Reddy

    (Poli Venkata Subba Reddy Department of Computer Science and Engineering, Sri Venkateswara University, India)

Abstract

Deep leering in natural language processing is an emerging area for text processing. Semantic analysis is used for natural language processing for deep learning. Fuzzy Natural language is languages which contain fuzzy rules with incomplete information. The fuzzy logic deals with incomplete information. In this paper, fuzzy neural networks are s discussed for fuzzy natural language processing. The single fuzzy membership function is not sufficient to deal with incomplete problems. The two-fold fuzzy set will give more evidence than the single fuzzy membership function. Deep learning is studied using twofold fuzzy logic. Medical diagnosis is given as an example.

Suggested Citation

  • Poli Venkata Subba Reddy, 2024. "Fuzzy Deep Learning in Text Processing- An Application to Medical Expert System," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 55(2), pages 46818-46825, February.
    • Handle: RePEc:abf:journl:v:55:y:2024:i:2:p:46818-46825
    DOI: 10.26717/BJSTR.2024.55.008676
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