Intuitionistic Fuzzy Twin Kernel Classifier Improves Computing Speed by 52 Percent
Researchers have developed a dual centroid intuitionistic fuzzy twin kernel ridge regression classifier that solves linear equations to attain 93.92 ...
Researchers have developed a dual centroid intuitionistic fuzzy twin kernel ridge regression classifier that solves linear equations to attain 93.92 ...
A comparative study of five fuzzy TOPSIS proximity measures in a deep Chinese tunneling project revealed that while all techniques ...
Researchers have introduced an integrated intuitionistic fuzzy group decision-making framework designed to improve the early quality evaluation of newly discovered ...
A new linguistic intuitionistic fuzzy decision-making model with Sugeno–Weber aggregation operators identifies the best and worst solar pairings for isolated ...
Researchers have built a graph neural network that classifies scientific papers by combining intuitionistic fuzzy uncertainty, node-level Laplacian energy, and ...
Researchers in India have built a tri-backbone deep learning system with an intuitionistic fuzzy fusion module that classifies apple leaf ...
Researchers at Hanoi University of Science and Technology have developed a fuzzy-set-based hesitation score that makes multi-task AI models robust ...
Researchers have developed a hybrid intuitionistic fuzzy deep neural network that markedly improves risk assessment accuracy for onshore oil and ...
Artificial intelligence systems are increasingly being asked to make decisions from evidence that is incomplete, ambiguous or contradictory. A new ...
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© 2026 Scienmag - Science Magazine