Abstract
This article is a review and classification of methods and algorithms related to the field of soft computing. Soft computing is an approach to information processing that takes into account the uncertainty, fuzziness, and proximity of data. The article discusses in detail the main categories of methods, such as probabilistic computing, fuzzy logic, evolutionary and genetic algorithms. The article provides readers with a systematic overview of current trends in soft computing, making it a valuable resource for researchers, engineers, and professionals interested in applying uncertaintyaware methods to their work.
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