… To overcome these challenges, machine learning and fuzzy logic are the two … Machine
learning is a technique of artificial intelligence to give better intelligent decisions. Fuzzy logic …

… on the role of fuzzy logic (FL) in data mining and machine learning is carried out…
machine-learning communities to FL, studies on FL could be more focused not on the activities that …

… fuzzy machine learning, which includes the discussion of the role of fuzzy sets in machine
learning… with both research communities, fuzzy logic and machine learning, not only as an …

… In this article we apply a fuzzy logic technique, namely Fuzzy C-Means clustering, and
artificial intelligence algorithms for evaluating comparatively the financial performance of non-…

… More recently, Fuzzy Logic has emerged as a promising approach … fuzzy machine is compared
against a traditional backpropagation neural network and Quinlan's ID3 machine learning …

… fuzzy logic in machine learning and data mining. In the section Potential Contributions of
Fuzzy Logic… the potential contributions that fuzzy logic can make to machine learning and data …

… A new machine learning algorithm defines driver performance in lane keeping and speed
… To evaluate distraction, an effective fuzzy logic algorithm is used. To verify the proposed …

… expert decision along with the fuzzy logic, machine learning to give decisions appropriately
to … So we used data mining along with Artificial intelligence, Machine learning and fuzzy logic …

… Specifically, we present a fuzzy logicbased machine learning … We first categorize data based
on fuzzy logic, which helps … Afterwards, we apply supervised learning—in particular, random …

… error diagnosis using machine learning, in combination with a fuzzy logic model for adaptive
… of machine learning and fuzzy logic in order to offer optimized English and French learning. …