Exploring Fuzzy Logic in Artificial Intelligence: A Comprehensive Study

Exploring Fuzzy Logic in Artificial Intelligence: A Comprehensive Study
Author(s):
L.R. Bindu, D. Dhanya
Keywords:
Artificial Intelligence, Fuzzy logic, Deep learning
Abstract
Artificial intelligence (AI) has gained significant attention in various domains for providing personalized recommendations based on users' activities. AI has seized the spotlight of the day, garnering significant attention from researchers, industries, and governments. The domain of fuzzy systems encompasses a wide array of theories and applications, including their integration with artificial and computational intelligence methods. These techniques are gaining increasing relevance due to their ability to provide a clear depiction of knowledge through linguistic rules. In numerous real-world scenarios, fuzzy systems establish precise frameworks that offer enhanced interpretability, valuable flexibility in reasoning by considering uncertainties and ambiguities in real-world situations. This paper delves into fuzzy logic's application in AI, particularly in computer vision, deep learning, neural networks, cognitive computing, and natural language processing.
Article Details
Unique Paper ID: 163041 Publication Volume & Issue: Volume 0, Issue no Page(s): 303 - 306
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