Frequency Regulation of Stand-Alone Synchronous Generator via Induction Motor Speed Control Using a PSO-Fuzzy PID Controller by Masoud Elhawat, Hüseyin Altınkaya

“…These results highlight the effectiveness and real-time applicability of the PSO-Fuzzy PID controller for industrial frequency control, especially under varying load conditions and the nonlinear characteristics of the synchronous generator.…”
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A Comparison of the Efficacy of Fuzzy Overlay and Random Forest Classification for Mapping and Shaping Perceptions of the Post-Mining Landscape of Gauteng, South Africa by Samkelisiwe Khanyile

“…The findings from this study indicate that both Fuzzy overlay and Random Forest classification are applicable for integrating multiple landscape characteristics at varying degrees. …”
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AI-Driven LOPCOW-AROMAN Framework and Topological Data Analysis Using Circular Intuitionistic Fuzzy Information: Healthcare Supply Chain Innovation by Muhammad Riaz, Freeha Qamar, Sehrish Tariq, Kholood Alsager

“…The implementation of a circular intuitionistic fuzzy set (CIFS) in the instance discussed provides a versatile and expressive way to describe vague and uncertain information. …”
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Modeling impacts of climate-induced yield variability and adaptations on wheat and maize in a sub-tropical monsoon climate - using fuzzy logic by Md. Abdul Kaium, Md. Sharif Ahmed, Muhammad Habib-Ur-Rahman, Md. Saidul Islam, Yeasmin Akter Ratry, Md Mostofa Uddin Helal, Muhammad Ali Fardoush Siddquy, Most. Moslema Haque, Ahsan Raza, Fatma Mansour, Majed Alotaibi, Ayman El Sabagh, Reimund P. Roetter

“…The approach is also applicable to other regions of the country and similar monsoon climates.…”
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Cognitive analysis of the development of human resource competencies in line with the Fourth Industrial Revolution by Habib Zare ahmadabadi, Sayed Heidar Mirfakhraddini, Fatemeh Zamzam, somayeh amirhosseini

“…Then, using the opinions of 10 experts of the steel industry in Yazd province, the collected data have been analyzed through the methods of intuitive fuzzy TOPSIS and intuitive fuzzy cognitive map. The competencies of Industry 4.0 in the steel industry were prioritized through intuitive fuzzy TOPSIS and the relationships between measures to improve competencies were explained using the intuitive fuzzy cognitive mapping method. …”
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Progress in the Application of Chemometrics in the Field of Food Flavor by ZHANG Qian, HAN Haoying, MENG Fanyu, WANG Yadong, WANG Bei, JIANG Tao

“…However, a summary of their reasonable application is lacking. Therefore, this article summarizes the statistical analysis methods available to study food flavor, including principal component analysis, linear discriminant analysis, linear regression methods such as partial least squares regression, and nonlinear methods such as fuzzy logic and artificial neural networks, explains their principles and provides application examples. …”
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Application of artificial intelligence technologies in HR management by S. V. Okladnikova, A. S. Pankrashov

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Pythagorean fuzzy N-bipolar soft sets-based multi-criteria decision-making framework for sustainability evaluation and risk assessment in manufacturing industries by Maha M. Saeed, Sagvan Y. Musa, Baravan A. Asaad, Zanyar A. Ameen

“…In this paper, we propose a novel hybrid model, termed Pythagorean fuzzy N-bipolar soft sets (PFNBSSs), which integrates Pythagorean fuzzy sets (PFSs), N-soft sets (NSSs), and bipolar soft sets (BSSs) within a unified multi-criteria decision-making (MCDM) framework. …”
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Risk Analysis Under Uncertainty, Subjectivity, and Incomplete Knowledge: With a Use Case of Energy System Failures by Ali Aghazadeh Ardebili, Mahdad Pourmadadkar, Elio Padoano

“…This study investigates the application of fuzzy‐rough FMEA (FR‐FMEA) to bridge this gap. …”
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An Overview of Fermatean Neutrosophic Graphs by Prasanta Kumar Raut, Surapati Pramanik, Bhabani S. Mohanty

“…Additionally, it provides a numerical example showcasing the application of Fermatean Neutrosophic Sets in decision-making. …”
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Applying fuzzy analytic hierarchy process to select models developed by abstraction and decision fusion architecture (case study: classification of Persian handwritten characters) by Mohammad Safaei, Somaye Moghari, Mohammad Kazem Fallah, Mehrdad Ghaznavi

“…The proposed methodology has three main phases: 1) developing models based on the ADFA, 2) defining evaluation criteria, and 3) selecting models using the Fuzzy Analytic Hierarchy Process (FAHP).Findings: The experimental results of this research demonstrate the effectiveness of this approach in developing suitable machine learning models for applications related to wearable devices, such as smart glasses.Originality/Value: This research introduces three innovations: 1) the use of ADFA for developing models for the classification of Persian handwritten characters, 2) defining a new abstraction for summarizing handwritten character images, and 3) developing a fuzzy multi-criteria decision-making approach for mapping the developed models in the ADFA to real-world applications.…”
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Experimental PI Fuzzy Controller to Control Pinch-roll Pressure via Hydraulic servo-valves in Continuous Casting Machines in Mobarakeh Steel Company by Mohammad Askari, Arash Daghighi

“…The experimental measurements of the slab pressure proved promising application of Fuzzy PI controller for the system under consideration.…”
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PyIT2FLS: An open-source Python framework for flexible and scalable development of type 1 and interval type 2 fuzzy logic models by Amir Arslan Haghrah, Sehraneh Ghaemi, Mohammad Ali Badamchizadeh

“…Despite their wide application, a comprehensive and integrated tool for fuzzy logic development in Python has been lacking. …”
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Finite-Time Synchronization and Practical Synchronization for Caputo Fractional-Order Fuzzy Cellular Neural Networks with Transmission Delays and Uncertainties via Information Feed... by Hongguang Fan, Hui Wen, Kaibo Shi, Anran Zhou

“…This article considers a class of Caputo fractional-order fuzzy cellular neural networks (CFOFCNNs) with transmission delays and uncertain perturbations. …”
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Gender Identification Using Multilayer Perceptron (MLP) Neural Network, Genetic Neural Network and Adaptive Neuro-Fuzzy Inference System (ANFIS) Network by Evanthia Kokkinaki

“…Additionally, the application of neural networks for gender recognition and their integration with the fuzzy C-means method is also noteworthy. …”
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A Decision Framework for Supplier Selection in Digital Supply Chains of E-Commerce Platforms Using Interval-Valued Intuitionistic Fuzzy VIKOR Methodology by Rahmi Baki, Billur Ecer, Ahmet Aktas

“…To achieve this, an extended fuzzy VlseKriterijuska Optimizacija I Komoromisno Resenje (VIKOR) method is tested, where criteria and alternative evaluations made by decision-makers (DMs) are characterized by interval-valued intuitionistic fuzzy numbers (IVIFNs). …”
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q-Fractional Hesitant Fuzzy Sets and Their Correlation Coefficients: Multi-Criteria Decision Making Technique for Selection of Agricultural Land to Cultivate Apples Crops by Nadeem Ajaib, Khizar Hayat, Dragan Pamucar, Kamran Kausar

“…The q-Fractional Fuzzy Sets (q-FrFSs) offers information in Membership Grade (MG) and Non-membership Grade (NMG) of an object; however, both grades have the hesitancy factor because complex information usually does not give single MG and single NMG. …”
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Rotor Unbalanced Vibration Control of Active Magnetic Bearing High-Speed Motor via Adaptive Fuzzy Controller Based on Switching Notch Filter by Lei Gong, Wenjuan Luo, Yu Li, Jingwen Chen, Zhiguang Hua

“…Aiming at the complex nonlinear and time-varying characteristics of the AMB rigid rotor system, this study designs an adaptive fuzzy controller (AFC) that obtains fuzzy quantities by blurring the rotor vibration information and vibration rate of change as the input signals and then obtains the fuzzy set through fuzzy reasoning and modifies the parameters of the initial fuzzy controller. …”
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Diagnosis of Commutation Failure in a High- Voltage Direct Current Transmission System Based on Fuzzy Entropy Feature Vectors and a PCNN-GRU by Cao Ruirui, Yang Taigang, Li Guohui, Chen Shilong

“…This breakthrough research offers critical technical support for stable HVDC system operation and holds significant application value for smart grid maintenance.…”
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Improving Proton Exchange Membrane Fuel Cell Operational Reliability Through Cabin-Based Fuzzy Control in Costal Standalone Observation Systems in Antarctica by Jin Wang, Yinke Dou, Guangyu Zuo, Bo Fan, Yuru Xing

“…A temperature-coordinated control system leveraging a BP neural network, fuzzy logic rules, and the fuzzy-based active disturbance rejection control (Fuzzy-ADRC) strategy are proposed to ensure that the temperature of the PEMFC and cabin can reach the optimal state rapidly and that the output voltage is stable. …”
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