An Adaptive Handover Prediction Scheme for Seamless Mobility Based Wireless Networks by Ali Safa Sadiq, Norsheila Binti Fisal, Kayhan Zrar Ghafoor, Jaime Lloret

“…That is, the AHP scheme incorporates fuzzy logic with AP prediction process in order to lend cognitive capability to handover decision making. …”
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Gait Perception via Actual and Estimated Pneumatic Physical Reservoir Output by Junyi Shen, Tetsuro Miyazaki, Swaninda Ghosh, Toshihiro Kawase, Kenji Kawashima

“…This enhanced clustering performance is subsequently leveraged in gait perception by incorporating Takagi–Sugeno fuzzy logic for joint angle estimation and a softmax activation function for walking condition recognition. …”
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Optimizing Multimodal Transportation: A Novel Decision-Making Approach With Fuzzy Risk Assessment by R. Muthunandhini, K. Palanivel

“…The advantage of using dual-faceted model incorporates diverse transportation methods and fuzzy logic for risk evaluation, thus enabling balanced, adaptive decision-making. …”
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Updating the “cost factor” in the William fine risk assessment method following economic power: A case study of selected production industries in Iran by Bafrin Moloudpourfard, Morteza Tahamipour Zarandi, Mostafa Pouyakian

“…Due to high exchange rate fluctuations and the possibility of using the cost invoice table over time and the producer price index, the correction factor was calculated. Furthermore, the fuzzy logic method determined the cost factor of William Fine's method. …”
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Optimization and loss estimation in energy-deficient polygeneration systems: A case study of Pakistan's utilities with integrated renewable energy by Muhammad Shoaib Saleem, Naeem Abas

“…Techniques used for electricity demand forecasting encompass artificial intelligence, artificial neural networks, trend line extrapolations, fuzzy logic, vector support machines, genetic algorithms and expert systems. …”
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Fuzzy Networked Control Systems Design Considering Scheduling Restrictions by H. Benítez-Pérez, A. Benítez-Pérez, J. Ortega-Arjona, O. Esquivel-Flores

“…The related control law is designed considering fuzzy logic approximation for nonlinear time delays coupling, where the main advantage is the integration of this behavior through extended state space representation keeping certain linear and bounded behavior and leading to a stable situation during events presentation by guaranteeing stability through Lyapunov.…”
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User Preference-Based Heterogeneous Network Management System for Vertical Handover by Samuel Ndegwa, Kumbirayi Nyachionjeka, Edwell T. Mharakurwa

“…The proposed algorithm utilizes a fuzzy logic system to assess whether the handover is necessary and a multiattribute decision-making (MADM) method to select the best available radio access network. …”
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A comprehensive literature review of fuzzy differential equations with applications by Kamal Hossain Gazi, Aditi Biswas, Payal Singh, Mostafijur Rahaman, Suman Maity, Animesh Mahata, Sankar Prasad Mondal

“…Many different types of uncertain healing occur in the real-world. Fuzzy logic is an effective mathematical tool for defining the sense of non-random uncertainty. …”
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A Data Fusion System for Simulation of Critical Scenarios and Decision-Making by Jimmy Anderson Flórez Zuluaga, Esteban Patiño Carrasco, Jose David Ortega Pabón, Kelly Gallego León, O. Lucía Quintero Montoya

“…This document describes an investigation product resulted in a simulation system, based on a combination of fuzzy logic, genetic algorithms and decision trees which let modelled and simulated various entities and their automatic response according to simulated patterns and situations, in which, through operators, decision maker can modify entities behaviour, according to parameterized restrictions and physical conditions. …”
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Optimal Learning Behavior Prediction System Based on Cognitive Style Using Adaptive Optimization-Based Neural Network by Ghada Aldabbagh, Daniyal M. Alghazzawi, Syed Hamid Hasan, Mohammed Alhaddad, Areej Malibari, Li Cheng

“…Each of the measure is compared with the proposed AONN and existing fuzzy logic methodologies. Ultimately, the proposed AONN method produces higher accuracy, specificity, and sensitivity results. …”
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Distance Education: Imbalance between Possibilities and Threats by D. А. Endovitsky, I. E. Risin, Yu. I. Treshchevsky, E. A. Rudnev

“…Purpose: To quantify the opportunities and threats arising from the spontaneous expansion of distance learning in the wake of the pandemic and measures to counteract its spread.Research methods: ex-pert analysis, fuzzy logic, comparative analysis.Results and conclusions. …”
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Analyzing the process of physical development of the city and presenting its appropriate strategic model, case study: Ahvaz city by ali shamai, seyed hossein vahdi nejad, soghera azarshab, Moslem Ghasemi

“…In order to achieve this goal, firstly, the physical expansion in the city of Ahvaz was reviewed in the comprehensive plan approved in 2010, and then 14 indicators were extracted to study the optimal development of Ahvaz city development, which were standardized using Fuzzy Logic (FUZZY) Continued for the optimal model using the ANPDEMATEL combined analysis model. …”
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Accuracy Enhancement for Forecasting Water Levels of Reservoirs and River Streams Using a Multiple-Input-Pattern Fuzzification Approach by Nariman Valizadeh, Ahmed El-Shafie, Majid Mirzaei, Hadi Galavi, Muhammad Mukhlisin, Othman Jaafar

“…Recently, modern methods utilizing artificial intelligence, fuzzy logic, and combinations of these techniques have been used in hydrological applications because of their considerable ability to map an input-output pattern without requiring prior knowledge of the criteria influencing the forecasting procedure. …”
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Técnicas subliminares, o Direito e os sentidos by Célia F. Matias

“…Discutindo os conceitos de sinestesia, oxímoro e fuzzy logic, o autor propõe uma visão abrangente, atualizada e flexível do Direito, capaz de acorrer às necessidades dos seres humanos face a essas tecnologias. …”
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Assessment of Teaching Quality of Traditional Decorative Patterns in Colleges and Universities Using an MCDM Approach and Circular Intuitionistic Information by Zi Wang, Liping Pan

“…A case study demonstrates its practical relevance and highlights the advantages of applying fuzzy logic to assess the teaching quality of traditional decorative patterns in colleges and universities.…”
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Control System of Fire Rescue Robot for High-Rise Building Design by Junfang Yu

“…The fuzzy control system established in the fuzzy logic toolbox of MATLAB can easily replace human field work and can change the control rules and membership function in the FIS editor. …”
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A Study of the Roots of Folding Urbanism Based on the Genealogy of Michel Foucault by arsalan Karimi khiavi, Siamak Panahi, Shahab Kariminia

“…The process of this research has reached the conclusion that Folding urbanism is based on Mendelbrot fractal geometry, Lotfizadeh fuzzy logic and in Lawrence chaos atmosphere and power relations in the glory of feminism and its manifestation on urbanism are the main reasons for the formation. …”
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An improved fuzzy time series forecasting model based on hesitant fuzzy sets by Lubna Shafi, Shilpi Jain, Praveen Agarwal, Pervaiz Iqbal, Aadil Rashid Sheergojri

“…Fuzzy Time Series Forecasting (TSF) is an approach for dealing with uncertainty in time series data that uses fuzzy logic. The Hesitant Fuzzy Set (HFS) theory better emphasizes the chances of capturing fuzziness and uncertainty due to randomness than the classic fuzzy set theory. …”
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Hierarchical Energy Management and Energy Saving Potential Analysis for Fuel Cell Hybrid Electric Tractors by Shenghui Lei, Yanying Li, Mengnan Liu, Wenshuo Li, Tenglong Zhao, Shuailong Hou, Liyou Xu

“…The proposed HIO-based EMS utilizes a low-pass filter and fuzzy logic correction in its upper-level strategy to manage high-frequency dynamic power using the supercapacitor. …”
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Blockchain-Powered Secure and Scalable Threat Intelligence System With Graph Convolutional Autoencoder and Reinforcement Learning Feedback Loop by Mohamad Khayat, Ezedin Barka, Mohamed Adel Serhani, Farag Sallabi, Khaled Shuaib, Heba M. Khater

“…Subsequently, graph convolutional neural networks with autoencoders are trained on large unlabeled sets of threat data to automatically label various types of threats, with the system employing fuzzy logic to rank and score possible threats. Furthermore, we implemented a feedback loop that incorporates reinforcement learning, thereby improving model performance over time according to guidance provided by cybersecurity specialists. …”
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