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Hierarchical Fuzzy Logic for Multi-Input Multi-Output Systems
IEEE Access, 2020 Fuzzy logic has created a high impact on research and development in almost all engineering applications. Recently, there has been an increasing interest in various offshoots of fuzzy logic approach and hierarchical fuzzy logic is one such area of ...
Shashank Kamthan, Harpreet Singh
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Hierarchical fuzzy logic based approach for object tracking [PDF]
Knowledge-Based Systems, 2013 In this paper a novel tracking approach based on fuzzy concepts is introduced. A methodology for both single and multiple object tracking is presented. The aim of this methodology is to use these concepts as a tool to, while maintaining the needed accuracy, reduce the complexity usually involved in object tracking problems.
Pedro Melo-Pinto +2 more
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Hierarchical Fuzzy Logic-Based Variable Structure Control for Vehicles Platooning [PDF]
IEEE Transactions on Intelligent Transportation Systems, 2019 This paper proposes a variable structure control approach for vehicles platooning based on a hierarchical fuzzy logic. The leader-follower vehicle dynamics with model uncertainties is discussed from the viewpoint of a consensus problem. A practical two-layer fuzzy control for the platooning is designed by employing two common spacing policies to ensure
Miguel Angel Sotelo +2 more
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An Integrated Risk Index Model Based on Hierarchical Fuzzy Logic for Underground Risk Assessment
Applied Sciences, 2017 Available space in congested cities is getting scarce due to growing urbanization in the recent past. The utilization of underground space is considered as a solution to the limited space in smart cities. The numbers of underground facilities are growing
Muhammad Fayaz +4 more
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Brain tumor segmentation using hierarchical combination of fuzzy logic and cellular automata
Journal of Medical Signals and Sensors, 2022 Background: Magnetic resonance (MR) image is one of the most important diagnostic tools for brain tumor detection. Segmentation of glioma tumor region in brain MR images is challenging in medical image processing problems.
Roqaie Kalantari +5 more
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Designing a hierarchical fuzzy logic controller using the differential evolution approach
Applied Soft Computing Journal, 2007 In conventional fuzzy logic controllers, the computational complexity increases with the dimensions of the system variables; the number of rules increases exponentially as the number of system variables increases. Hierarchical fuzzy logic controllers (HFLC) have been introduced to reduce the number of rules to a linear function of system variables ...
France Cheong, Richard Lai
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Neutrosophic Logic-based DIANA Clustering algorithm [PDF]
Neutrosophic Sets and Systems, 2023 On the one hand, the most extensively used Hierarchical Clustering techniques are the Hierarchical Divisive Clustering (HDC) algorithms such as DIANA. Its primary goal is to build the tree of Hierarchical Agglomerative Clustering (HAC) in reverse order ...
Azeddine Elhassouny
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Hierarchical fuzzy deep learning for image classification
Memories - Materials, Devices, Circuits and Systems, 2022 Considerable interest has been shown over the last several decades for fuzzy logic and its application. The intelligent and deep learning systems are gaining breakthroughs in all walks of life to solve real-life problems for the future.
Shashank Kamthan +2 more
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EURASIP Journal on Information Security, 2023 Currently, sensor energy assembly in wireless sensor networks is limited, and clustering methods are not effective to improve sensor energy consumption rate.
Dan Wang, Qing Wu, Ming Hu
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An Unequally Clustered Multi-hop Routing Protocol Based on Fuzzy Logic for Wireless Sensor Networks
IEEE Access, 2021 Wireless sensor networks (WSNs) is associated with a new exemplification of a real-time embedded system used for various applications that make the traditional infrastructure-based network seem infeasible. Due to imbalanced energy consumption among nodes,
Mohd Adnan +3 more
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