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

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

Biomedical Journal of Scientific & Technical Research, 2024, vol. 55, issue 2, 46818-46825

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.

Keywords: Journals on Medical Drug and Therapeutics; Journals on Emergency Medicine; Physical Medicine and Rehabilitation; Journals on Infectious Diseases Addiction Science and Clinical Pathology; Open Access Clinical and Medical Journal; Journals on Biomedical Science; List of Open Access Medical Journal; Journals on Biomedical Engineering; Open Access Medical Journal; Biomedical Science Articles; Journal of Scientific and Technical Research (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:abf:journl:v:55:y:2024:i:2:p:46818-46825

DOI: 10.26717/BJSTR.2024.55.008676

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