International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
World Scientific · Singapore
Aims & Scope✦ Inferred from recent articles
This journal publishes research on the application of computational and mathematical methods to address uncertainty, imprecision, and complexity in various domains. Topics include fuzzy logic systems, machine learning, data mining, optimization techniques, and statistical modeling for areas such as sentiment analysis, healthcare, finance, and autonomous systems. The research often involves developing novel algorithms and frameworks to improve classification, prediction, clustering, and decision-making in the presence of uncertain or incomplete information.
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