Vulnérabilité et transport de matières dangereuses : une méthode d’aide à la décision issue de l’expertise de la Sécurité Civile by Chloé Griot

“…This method is based on some mathematical techniques allowing to take into account subjective judgements of experts in order to formalize complex problems: multicriteria decision help methods and fuzzy logic. The practical application of this method requires the use of a geographical information system. …”
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Observer Design for a Class of Nonlinear Descriptor Systems: A Takagi-Sugeno Approach with Unmeasurable Premise Variables by J. Soulami, A. El Assoudi, M. Essabre, M. Habibi, E. El Yaagoubi

“…The Takagi-Sugeno (T-S) fuzzy observer for dynamical systems described by ordinary differential equations is widely discussed in the literature. …”
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Optimal Paradigms for Quantitative Modeling in Systems Biology Demonstrated for Spinal Motor Neuron Synthesis by Gülbahar Akgün, Rza Bashirov

“…This methodology has the potential for application to other gene-drug-disease networks and broader biological systems.…”
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INFORMATION-ANALYTICAL MODEL FOR THE SELECTION OF MANAGEMENT METHODS ACCORDING TO THE DEGREE OF THEIR INFLUENCE ON EFFICIENCY OF PRODUCTION ACTIVITY OF CONSTRUCTION ORGANISATIONS by Sh. T. Ismailova, V. B. Melekhin, V. M. Khachumov

“…The methodology of the conducted research is based on the application of the mathematical apparatus of fuzzy sets for the  processing of expert data and the formation on this basis of linguistic functions that determine the analytical relationship between various  indicators of the production activity of the construction organisation.Results. …”
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Two TOPSIS-Based Approaches for Multi-Choice Rough Bi-Level Multi-Objective Nonlinear Programming Problems by Mohamed A. El Sayed, Farahat A. Farahat, Mohamed A. Elsisy, Maazen Alsabaan, Mohamed I. Ibrahem, Haitham Elwahsh

“…Finally, the study presents a bi-level production planning model (BL-PPM) as an illustrative application.…”
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Intelligent Obstacle Avoidance Algorithm for Mobile Robots in Uncertain Environment by Liwei Guan, Yu Lu, Zhijie He, Xi Chen

“…The application of mobile robots and artificial intelligence technology has shown great application prospects in many fields. …”
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A Novel Dynamic Weight Neural Network Ensemble Model by Kewen Li, Wenying Liu, Kang Zhao, Mingwen Shao, Lu Liu

“…Neural network is easy to fall into the minimum and overfitting in the application. The paper proposes a novel dynamic weight neural network ensemble model (DW-NNE). …”
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SYSTEM ANALYSIS OF MAJOR TRENDS IN DEVELOPMENT OF ADAPTIVE TRAFFIC FLOW MANAGEMENT METHODS by A. N. Klimovich, V. N. Shuts

“…Reviewed the most perspective directions in the field of intelligent transport systems, such as high-speed wireless communication between vehicles and road infrastructure based on such technologies as DSRC and WAVE, traffic jams prediction having such features as traffic flow information, congestion, velocity of vehicles using machine learning, fuzzy logic rules and genetic algorithms, application of driver assistance systems to increase vehicle’s autonomy. …”
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A Unique Bifuzzy Manufacturing Service Composition Model Using an Extended Teaching-Learning-Based Optimization Algorithm by Yushu Yang, Jie Lin, Zijuan Hu

“…Based on bifuzzy theory, we put forward a unique bifuzzy manufacturing service portfolio model. Through the application of the fuzzy variable to express quality of service (QoS) value of manufacturing services, this model also accounts for the preferences of manufacturing firms by allocating various weights to different sub-tasks. …”
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Parametric Analysis of Flexible Logic Control Model by Lihua Fu, Dan Wang, Jinyun Kuang

“…In practical control application, how to determine the general correlation coefficient of flexible logic control model is a problem for further studies. …”
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汽车主动悬架模糊PID控制器的设计 by 续海峰, 张慧鹏

“…The simulation results show that the active suspension is superior to the passive suspension in improving the ride comfort ability,and the active suspension Fuzzy-PID control based on fuzzy theory is applicable and remarkably effective.…”
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Metode Ensemble Classifier untuk Mendeteksi Jenis Attention Deficit Hyperactivity Disorder (SDHD) pada Anak Usia Dini by indri - ati, ari kusyanti

“…This application uses the Ensemble Classifier method, in which a method that allows some classifier in order to increase the resulting value. …”
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Reliability and Quality of Complex Systems by K.V. Bukhenskiy, T.L. Lvova, V.V. Mironov

“…Real-time data collection, statistical analysis and averaging of data, clustering of data based on fuzzy logic, field testing of methods, analysis of results and conclusions take place. …”

Flow Control of Flow Boiling Experimental System by Whale Optimization Algorithm (WOA) Improved Single Neuron PID by Yan Li, Miao Qian, Daojing Dai, Weitao Wu, Le Liu, Haonan Zhou, Zhong Xiang

“…The output curve of the WOA-improved single-neuron PID closely aligns with the sinusoidal signal, exhibiting an average absolute error of 0.120, which is lower than that of the traditional PID (0.209) and fuzzy PID (0.296). The WOA-improved single-neuron PID (1.01 s) exhibited a faster return to a stable state compared to the traditional PID (2.46 s) and fuzzy PID (1.28 s). …”
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Integrating ANN and ANFIS for effective fault detection and location in modern power grid by Yadav Goutam Kumar, Kirar Mukesh Kumar, Gupta S.C., Rajender Jatoth

“…This work presents a comprehensive study on the application of Artificial Neural Network (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS) for fault management in power systems. …”
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Using Sentinel-1 Time Series Data for the Delineation of Management Zones by Juliano de Paula Gonçalves, Francisco de Assis de Carvalho Pinto, Daniel Marçal de Queiroz, Domingos Sárvio Magalhães Valente

“…MZs were delineated by analyzing indices and VV/VH backscatter bands individually through two approaches: (1) fuzzy k-means clustering directly applied to the indices’ time series and (2) dimensionality reduction using deep-learning autoencoders followed by fuzzy k-means clustering. …”
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Emergent Technologies in Big Data Sensing: A Survey by Ting Zhu, Sheng Xiao, Qingquan Zhang, Yu Gu, Ping Yi, Yanhua Li

“…When the number of data generating sensors increases and the amount of sensing data grows to a scale that traditional methods cannot handle, big data methods are needed for sensing applications. However, big data is a fuzzy data science concept and there is no existing research architecture for it nor a generic application structure in the field of sensing. …”
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Developing a strategic framework for airline destination selection: A multi-criteria decision-making approach applied to Turkish airlines by Filiz Mizrak, Kagan Cenk Mizrak, Gonca Reyhan Akkartal

“…The purpose of this study is to develop a comprehensive decision-making framework that airlines can use to strategically select new destinations, demonstrated here with a case application for Turkish Airlines. Addressing the complexities of route expansion, the study integrates the Entropy weighting method with the 2-Tuple Linguistic T-Spherical Fuzzy Decision by Opinion Score Method (2TLTS-FDOSM) to evaluate potential destinations across critical criteria, including market demand, economic impact, and regulatory environment. …”
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Chebyshev Distance Entropy Combined with TODIM Method in Lq-ROFS Multiattribute Group Decision Making by Yangcan Wang, Xin Tang, Yutong Pan, Mingqian Cai

“…Linguistic q-rung orthopair fuzzy numbers (Lq-ROFNs) are composed of a set of q-rung orthopair fuzzy numbers (q-ROFNs) with membership and nonmembership degrees of linguistic variables, which can be regarded as an extension of linguistic intuitionistic fuzzy numbers (LIFNs) and linguistic Pythagorean fuzzy numbers (LPFNs). …”
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Research of theoretical basis of implementation of intelligent control systems for locomotive traction transmission by Oleksandr Gorobchenko, Denys Zaika, Sergiy Maliuk, Oleksandr Arkhypov, Oleksandr Nevedrov

“…These systems employ methods such as fuzzy logic, artificial neural networks, and genetic algorithms. …”
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