AIMC Topic: Fuzzy Logic

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KAT: A Knowledge Adversarial Training Method for Zero-Order Takagi-Sugeno-Kang Fuzzy Classifiers.

IEEE transactions on cybernetics Jul 4, 2022
While input or output-perturbation-based adversarial training techniques have been exploited to enhance the generalization capability of a variety of nonfuzzy and fuzzy classifiers by means of dynamic regularization, their performance may perhaps be ...
Humans Neural Networks, Computer Algorithms Fuzzy Logic
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A Granular Approach to Interval Output Estimation for Rule-Based Fuzzy Models.

IEEE transactions on cybernetics Jul 4, 2022
Rule-based fuzzy models play a dominant role in fuzzy modeling and come with extensive applications in the system modeling area. Due to the presence of system modeling error, it is impossible to construct a model that fits exactly the experimental ev...
Algorithms Fuzzy Logic
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Multifunctional resilience of river health to human service demand in an alluvial quarried reach: a comparison amongst fuzzy logic, entropy, and AHP-based MCDM models.

Environmental science and pollution research international Jul 1, 2022
Riverine ecosystem services to human beings are dynamically evaluated by harmonic relationships; however, over growing human service demands (HSDs) are leading to deteriorate the river health resilience. In this study, an assessment index system of r...
Humans Reproducibility of Results Ecosystem Fuzzy Logic Rivers Entropy
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Closed-loop transcranial ultrasound stimulation with a fuzzy controller for modulation of motor response and neural activity of mice.

Journal of neural engineering Jun 30, 2022
. We propose a closed-loop transcranial ultrasound stimulation (TUS) with a fuzzy controller to realize real-time and precise control of the motor response and neural activity of mice.. The mean absolute value (MAV) of the electromyogram (EMG) and pe...
Neural Networks, Computer Computer Simulation Feedback Animals Mice Fuzzy Logic
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Intelligent temperature modeling in robotic cortical bone milling process based on teaching-learning-based optimization algorithm.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine Jun 28, 2022
Bone milling is one of the most important and sensitive biomechanical processes in the field of medical engineering. This process is used in orthopedic surgery, dentistry, treatment of fractures, and bone biopsy. The use of automatic numerical contro...
Neural Networks, Computer Algorithms Temperature Fuzzy Logic Robotic Surgical Procedures Cortical Bone
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The Group Decision-Making Using Pythagorean Fuzzy Entropy and the Complex Proportional Assessment.

Sensors (Basel, Switzerland) Jun 28, 2022
The Pythagorean fuzzy sets conveniently capture unreliable, ambiguous, and uncertain information, especially in problems involving multiple and opposing criteria. Pythagorean fuzzy sets are one of the popular generalizations of the intuitionistic fuz...
Fuzzy Logic Decision Making Entropy Uncertainty
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The minimum regret path problem on stochastic fuzzy time-varying networks.

Neural networks : the official journal of the International Neural Network Society Jun 27, 2022
In this paper, we introduce a stochastic fuzzy time-varying minimum regret path problem (SFTMRP), which combines the characteristics of the min-max regret path and maximum probability path as a variant of the stochastic fuzzy time-varying shortest pa...
Neural Networks, Computer Algorithms Fuzzy Logic Emotions Neurons
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Planning and Selection of Facility Layout in Healthcare Services.

Hospital topics Jun 26, 2022
Facility layout planning (FLP) is an integral part of the hospital layout design. The purpose of this article is to develop and elaborate a FLP method for a diabetes clinic using a case study approach. In this study, the Systematic Layout Planning (S...
Humans Delivery of Health Care Hospitals Diabetes Mellitus Fuzzy Logic Decision Making
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Diagnosis of Alternaria disease and leafminer pest on tomato leaves using image processing techniques.

Journal of the science of food and agriculture Jun 25, 2022
BACKGROUND: Diseases such as Alternaria and pests such as leafminer threaten tomato as one of the most widely used agricultural products. These pests and diseases first damage the leaves of tomatoes, then the flowers, and finally the fruit. Therefore...
Neural Networks, Computer Fuzzy Logic Plant Leaves Solanum lycopersicum Alternaria
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Optimal Superpixel Kernel-Based Kernel Low-Rank and Sparsity Representation for Brain Tumour Segmentation.

Computational intelligence and neuroscience Jun 24, 2022
Given the need for quantitative measurement and 3D visualisation of brain tumours, more and more attention has been paid to the automatic segmentation of tumour regions from brain tumour magnetic resonance (MR) images. In view of the uneven grey dist...
Humans Algorithms Brain Neoplasms Magnetic Resonance Imaging Fuzzy Logic
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