1 College of Electrical Engineering and New Energy, China Three Gorges University, Yichang, Hubei, China 2 College of Economics and Management, China Three Gorges University, Yichang, Hubei, China To ...
Abstract: The exploitation of fuzzy techniques in machine learning for modelling uncertainty is highly versatile and widespread. In addition to providing a suitable fuzzy algorithm, its hardware ...
You will be redirected to our submission process. The field of fuzzy system theory, which is grounded in fuzzy sets, provides robust solutions to complex problems involving fuzziness. Fuzzy systems ...
This framework is designed to tackle the challenges of financial portfolio optimization by integrating advanced metaheuristic strategies with fuzzy logic. It is built for both academic research and ...
Clustering is an unsupervised machine learning technique used to organize unlabeled data into groups based on similarity. This paper applies the K-means and Fuzzy C-means clustering algorithms to a ...
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How to use fuzzy matching in Power Query to clean up Excel data
Merge lists even with typos and inconsistent names. Tune the similarity threshold, use a transform table, and audit results ...
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