This work shows how to integrate fuzzy decision algorithms with modern database technology. In addition, we show that integrating the fuzzy decision tree induction tool with database storage allows for optimal
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medical staff21. The combination of data analytics and mobile cloud computing has spawned new research in the field of transportation. Studies have shown that fuzzy Markov prediction models can also be used to forecast efficient short-term traffic22,23,24, offering better route mapping and mobility...
In computer science, fuzzy logic is a powerful tool that expands upon classical binary logic to represent ambiguity and imprecision mathematically. It emulates human thinking and effectively tackles issues involving uncertainty and vagueness. The concepts of fuzzy sets, membership functions, and fuzziness...
Moreover, the real-time classification of complex/dynamic activities of Covid’19 patients, the machine learning classifiers, such as Bayesian Network, Decision Tree, K-Nearest Neighbors, and Neural Network, are employed. For new occurrences, the classification model is used to identify the ...
Inductive methods generally extend supervised classifiers, e.g., support vector machine (SVM), decision tree (DT), multi-layered perceptron (MLP), k-nearest neighbour (kNN), to incorporate unlabelled data [7], [8], [9], [10]. Their primary goal is to construct a classifier from both ...
www.nature.com/scientificreports OPEN A hybrid interpretable deep structure based on adaptive neuro‑fuzzy inference system, decision tree, and K‑means for intrusion detection Jia Liu 1,2, Wang Yinchai 1*, Teh Chee Siong 3, Xinjin Li 2, Liping Zhao 2,4...
Performance evaluation of the GIS-based data mining techniques of best-first decision tree, random forest, and naïve Bayes tree for landslide susceptibility modeling. Sci. Total Environ. 644, 1006-1018. [24] Chen, W., Shahabi, H., Shirzadi, A., Li, T., Guo, C., Hong, H., Li...
Deep visual data analysis from social network has become an increasingly important area of research. In fact, this form of assessment makes it viable to recognize new information on social users which incorporates emotions. In order to recognize users’ emotions and other latent attributes, most of...
The key feature of the proposed system relies on the integration through multiple stages of Fuzzy Inference systems and a data-driven technique for Emissions Analytics, FIEMA.1 The algorithm in FIEMA provides a semi-supervised learning approach to emission analytics: it determines data clusters by a...