AIMC Topic: Fuzzy Logic

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Discernibility Measures for Fuzzy β Covering and Their Application.

IEEE transactions on cybernetics Aug 18, 2022
As a combination of fuzzy sets and covering rough sets, fuzzy β covering has attracted much attention in recent years. The fuzzy β neighborhood serves as the basic granulation unit of fuzzy β covering. In this article, a new discernibility measure wi...
Humans Algorithms Fuzzy Logic
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Dissipativity-Based Intermittent Fault Detection and Tolerant Control for Multiple Delayed Uncertain Switched Fuzzy Stochastic Systems With Unmeasurable Premise Variables.

IEEE transactions on cybernetics Aug 18, 2022
This study focuses on dissipativity-based fault detection for multiple delayed uncertain switched Takagi-Sugeno fuzzy stochastic systems with intermittent faults and unmeasurable premise variables. Nonlinear dynamics, exogenous disturbances, and meas...
Algorithms Feedback Fuzzy Logic Models, Statistical Nonlinear Dynamics
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Robust Handover Optimization Technique with Fuzzy Logic Controller for Beyond 5G Mobile Networks.

Sensors (Basel, Switzerland) Aug 18, 2022
Mobility management is an essential process in mobile networks to ensure a high quality of service (QoS) for mobile user equipment (UE) during their movements. In fifth generation (5G) and beyond (B5G) mobile networks, mobility management becomes mor...
Algorithms Reproducibility of Results Fuzzy Logic Computer Communication Networks Wireless Technology
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ReLU-FCM trained by quasi-oppositional bare bone imperialist competition algorithm for predicting employment rate.

PloS one Aug 18, 2022
Fuzzy cognitive maps (FCMs) are a powerful tool for system modeling, which can be used for static and dynamic analysis. However, traditional FCMs are usually learned by gradient-based methods, and the adopted sigmoid nonlinear activation function fre...
Humans Algorithms Learning Fuzzy Logic Employment
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Deep learning fuzzy immersion and invariance control for type-I diabetes.

Computers in biology and medicine Aug 17, 2022
In this study, a novel approach is proposed for glucose regulation in type-I diabetes patients. Unlike most studies, the glucose-insulin metabolism is considered to be uncertain. A new approach on the basis of the Immersion and Invariance (I&I) theor...
Humans Algorithms Computer Simulation Deep Learning Blood Glucose Insulin Diabetes Mellitus, Type 1 Fuzzy Logic Immersion
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A Fast Weighted Fuzzy C-Medoids Clustering for Time Series Data Based on P-Splines.

Sensors (Basel, Switzerland) Aug 17, 2022
The rapid growth of digital information has produced massive amounts of time series data on rich features and most time series data are noisy and contain some outlier samples, which leads to a decline in the clustering effect. To efficiently discover...
Algorithms Time Factors Fuzzy Logic Cluster Analysis
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Fault Prediction Based on Leakage Current in Contaminated Insulators Using Enhanced Time Series Forecasting Models.

Sensors (Basel, Switzerland) Aug 16, 2022
To improve the monitoring of the electrical power grid, it is necessary to evaluate the influence of contamination in relation to leakage current and its progression to a disruptive discharge. In this paper, insulators were tested in a saline chamber...
Neural Networks, Computer Forecasting Time Factors Fuzzy Logic
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Multi-Kernel Fuzzy Clustering-Based Sporting Consumption Behavior Study.

Computational intelligence and neuroscience Aug 13, 2022
Cluster analysis plays a very important role in the field of unsupervised learning. The multikernel function is used to transform the low-dimensional nonlinear relationship of the influencing factors of consumption behavior into a high-dimensional li...
Algorithms Fuzzy Logic Cluster Analysis
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Risk assessment of interstate pipelines using a fuzzy-clustering approach.

Scientific reports Aug 12, 2022
Interstate pipelines are the most efficient and feasible mean of transport for crude oil and gas within boarders. Assessing the risks of these pipelines is challenging despite the evolution of computational fuzzy inference systems (FIS). The computat...
Algorithms Risk Assessment Fuzzy Logic Cluster Analysis Egypt
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Distance and similarity measures for normal wiggly dual hesitant fuzzy sets and their application in medical diagnosis.

Scientific reports Aug 12, 2022
The normal wiggly dual hesitant fuzzy set (NWDHFS) is a modern mathematical tool that can be used to express the deep ideas of membership and non-membership information hidden in the thought-level of decision-makers (DMs). To enhance and expand the a...
Humans Algorithms Fuzzy Logic Urinary Bladder Diseases Uncertainty Confusion
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