AIMC Topic: Fuzzy Logic

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A fuzzy logic-based secure hierarchical routing scheme using firefly algorithm in Internet of Things for healthcare.

Scientific reports Jul 8, 2023
The Internet of Things (IoT) is a universal network to supervise the physical world through sensors installed on different devices. The network can improve many areas, including healthcare because IoT technology has the potential to reduce pressure c...
Algorithms Delivery of Health Care Fuzzy Logic Health Facilities Internet of Things
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Assessment of coastal vulnerability using integrated fuzzy analytical hierarchy process and geospatial technology for effective coastal management.

Environmental science and pollution research international Jun 30, 2023
The vulnerability of coastal regions to climate change is a growing global concern, particularly in Bangladesh, which is vulnerable to flooding and storm surges due to its low-lying coastal areas. In this study, we used the fuzzy analytical hierarchy...
Fuzzy Logic Climate Change Bangladesh Floods
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Application of artificial intelligence-based methods in bioelectrochemical systems: Recent progress and future perspectives.

Journal of environmental management Jun 28, 2023
Bioelectrochemical Systems (BESs) leverage microbial metabolic processes to either produce electricity by degrading organic matter or consume electricity to assist metabolism, and can be used for various applications such as energy production, wastew...
Humans Neural Networks, Computer Artificial Intelligence Algorithms Fuzzy Logic Electricity
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Photo-Electro-Thermal Model and Fuzzy Adaptive PID Control for UV LEDs in Charge Management.

Sensors (Basel, Switzerland) Jun 27, 2023
Inertial sensors can serve as inertial references for space missions and require charge management systems to maintain their on-orbit performance. To achieve non-contact charge management through UV discharge, effective control strategies are necessa...
Algorithms Computer Simulation Fuzzy Logic Ultraviolet Rays
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Interval-valued bipolar fuzzy line graphs.

BMC research notes Jun 26, 2023
OBJECTIVES: The notion of Bipolarity based on positive and negative outcomes. It is well known that bipolar models give more precision, flexibility, and compatibility to the system as compared to the classical models and fuzzy models. A bipolar fuzzy...
Humans Models, Theoretical Fuzzy Logic
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Flood discharge prediction using improved ANFIS model combined with hybrid particle swarm optimisation and slime mould algorithm.

Environmental science and pollution research international Jun 23, 2023
Due to the disastrous socio-economic impacts of flood hazards and estimated rise of its occurrences in the near future, there has been an increase in the importance of flood prediction worldwide. Artificial intelligence (AI) models have contributed s...
Neural Networks, Computer Artificial Intelligence Algorithms Fuzzy Logic Floods
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A statistical comparison between Matthews correlation coefficient (MCC), prevalence threshold, and Fowlkes-Mallows index.

Journal of biomedical informatics Jun 21, 2023
Even if assessing binary classifications is a common task in scientific research, no consensus on a single statistic summarizing the confusion matrix has been reached so far. In recent studies, we demonstrated the advantages of the Matthews correlati...
Algorithms Drug Discovery Prevalence Fuzzy Logic Entropy
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Nonfragile Output Feedback Tracking Control for Markov Jump Fuzzy Systems Based on Integral Reinforcement Learning Scheme.

IEEE transactions on cybernetics Jun 15, 2023
In this article, a novel integral reinforcement learning (RL)-based nonfragile output feedback tracking control algorithm is proposed for uncertain Markov jump nonlinear systems presented by the Takagi-Sugeno fuzzy model. The problem of nonfragile co...
Algorithms Feedback Fuzzy Logic Nonlinear Dynamics
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Intuitionistic Fuzzy Weighted Least Squares Twin SVMs.

IEEE transactions on cybernetics Jun 15, 2023
Fuzzy membership is an effective approach used in twin support vector machines (SVMs) to reduce the effect of noise and outliers in classification problems. Fuzzy twin SVMs (TWSVMs) assign membership weights to reduce the effect of outliers, however,...
Support Vector Machine Fuzzy Logic Least-Squares Analysis
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Training Novel Adaptive Fuzzy Cognitive Map by Knowledge-Guidance Learning Mechanism for Large-Scale Time-Series Forecasting.

IEEE transactions on cybernetics Jun 15, 2023
A fuzzy cognitive map (FCM) is a graph-based knowledge representation model wherein the connections of the nodes (edges) represent casual relationships between the knowledge items associated with the nodes. This model has been applied to solve variou...
Algorithms Learning Time Factors Cognition Fuzzy Logic
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