Asynchronous Stabilization of Nonlinear Markov Jump Singularly Perturbed Systems via Fuzzy Static Output Feedback Control by Baogang Ding, Tingting Ma, Xiaoxin Feng, Yueying Wang

“…Finally, a typical circuit system is used to demonstrate the application potential of the developed control technology and the effectiveness of the control strategy.…”
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Research on Risk Analysis Method of Maglev Train Suspension System Based on Fuzzy Multi-Attribute Decision-Making by Xiang Chen, Xiaolong Li, Yilu Feng

“…Against the backdrop of the practical application of maglev train projects, this paper integrates domestic and international risk analysis models, proposes the steps for conducting the risk analysis of maglev rail transit, and establishes a risk analysis system for the entire lifecycle of maglev rail transit. …”
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A Framework for the Selection of Material Handling Equipment Using Fuzzy FUCOM: A Case Study in the Automotive Industry by Damla Çevik Aka

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Enhancing energy management in battery electric vehicles: A novel approach based on fuzzy Q-learning controller by Salma Ariche, Zakaria Boulghasoul, Abdelhafid El Ouardi, Abdelhadi Elbacha, Abdelouahed Tajer, Stéphane Espié

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An Intelligent Decision Support System for Selecting Optimal AI-Powered Assistive Technology for Individuals with Disabilities by Minhaj, Muneeza, Asghar Khan, Mohammad Khishe, Abdu H. Gumaei, Samah M. Alzanin, Bader Fahad Alkhamees, Shahzaib Ashraf

“…We also present a case study to further highlight the practical applications of trimorphic fuzzy sets. We look into a few aggregation strategies for trimorphic fuzzy data in this work. …”
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A robust method for bridge safety risk assessment using improved multi-state fuzzy Bayesian network by Zhong Cao, Weicong He, Kaihong Chen, Rui Rao, Zhaohui Chen

“…Abstract This paper proposes a robust method utilizing Multi-state Fuzzy Bayesian Network (MFBN) to evaluate bridge safety risks, offering a foundation for risk control. …”
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A Decision-Making Approach for the Evaluation of Information Security Management under Complex Intuitionistic Fuzzy Set Environment by Muhammad Azam, Muhammad Sajjad Ali Khan, Shilin Yang

“…Since intuitionistic fuzzy set only deals with uncertainty but not periodicity, therefore to overcome, this situation complex intuitionistic fuzzy set is a better tool that deals with both uncertainty and periodicity. …”
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A novel interval valued bipolar fuzzy hypersoft topological structures for multi-attribute decision making in the renewable energy sector by Muhammad Imran Harl, Muhammad Saeed, Muhammad Haris Saeed, Muhammad Salman Habib, Seung-June Hwang

“…The effectiveness of our approach is demonstrated through comparative analyses and real-world applications, validating its superiority in handling uncertainty compared to existing fuzzy models. …”
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OPTIMIZATION OF FUZZY INVENTORY MANAGEMENT IN INDUSTRIAL PROCESSES USING DEEP LEARNING ALGORITHMS: A HYBRID APPROACH FOR ENHANCING DEMAND FORECASTING AND SUPPLY CHAIN EFFICIENCY by K. Kalaiarasi*, S. Swathi

“…This paper introduces a novel approach that combines fuzzy logic and deep learning to address these limitations. …”
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A High Performance Nonlinear Longitudinal Controller for Fixed-Wing UAVs Based on Fuzzy-Guaranteed Cost Control by Jun Li, Xiaobao Liu, Dawei Wu, Zhengyang Pi, Tianyi Liu

“…Unmanned aerial vehicles (UAVs) have garnered more attention across various industries in recent years, leading to significant development in their design and application globally. Due to the high coupling between UAV states, model uncertainties, and various disturbances, precise longitudinal control of UAVs remains a significant research challenge. …”
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A Comparative Study of Hybrid Adaptive Neuro-Fuzzy Inference Systems to Predict the Unconfined Compressive Strength of Rocks by Annabelle Graham, Emma Scott

“…In this study, the application of Adaptive Neuro-Fuzzy Inference Systems (ANFIS) is investigated as a cost-efficient and reliable approach to predict UCS from Bulk Density (BD), Bulk Tensile Strength (BTS), dry density (DD) test, p-wave velocity test ( ), Schmidt hammer rebound number (SRn), and point load index test (Is(50)). …”
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Fuzzy AHP Approach for Enhancing Excavation Support System Selection in Building Projects: Balancing Safety and Cost-Effectiveness by Hossam Wefki, Emad Elbeltagi, Ahmed Elgamal, Mansour Alturki, Mohammed K. Alkharisi, Mohammed T. Elnabwy

“…To overcome this challenge, this study proposes an enhanced method known as fuzzy AHP. This approach is designed to capture the subjective experiences of experts better and effectively incorporate the uncertainties present in the decision-making process, ultimately aiding in identifying the most suitable ESS. …”
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Deep-Fuzzy Logic Control for Optimal Energy Management: A Predictive and Adaptive Framework for Grid-Connected Microgrids by Muhammed Cavus, Dilum Dissanayake, Margaret Bell

“…Key novel contributions include the integration of advanced prediction mechanisms with fuzzy control and its application to battery-integrated grid-connected MG systems.…”
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A Hybrid Fuzzy Mathematical Programming Approach for Manufacturing Inventory Models with Partial Trade Credit Policy and Reliability by Prasantha Bharathi Dhandapani, Kalaiarasi Kalaichelvan, Víctor Leiva, Cecilia Castro, Soundaria Ramalingam

“…This study introduces an inventory model for manufacturing that prioritizes product quality and cost efficiency. Utilizing fuzzy logic and mathematical programming, the model integrates fuzzy numbers to describe uncertainties associated with manufacturing costs and quality control parameters. …”
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The New Integrated Interval-Valued Fermatean Fuzzy Decision-Making Approach with the Implementation of Green Supply Chain Management by Murat Kirişci, Serdar Kuzu, Ali Kablan, Volkan Öngel

“…This paper aims to effectively tackle decision-making problems on interval-valued Fermatean fuzzy sets; the current research suggested an integrated approach based on the WASPAS method. …”
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Interpretable Fuzzy Control for Energy Management in Smart Buildings Using JFML-IoT and IEEE Std 1855-2016 by María Martínez-Rojas, Carlos Cano, Jesús Alcalá-Fdez, José Manuel Soto-Hidalgo

“…This paper presents an interpretable and modular framework for energy management in smart buildings based on fuzzy logic and the IEEE Std 1855-2016. The proposed system builds upon the JFML-IoT library, enabling the integration and execution of fuzzy rule-based systems on resource-constrained IoT devices using a lightweight and extensible architecture. …”
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Spatio-temporal differentiation on China’s green agricultural total factor productivity guided by digital technology and fuzzy systems by Changcun Wen, Bao Hu, Yongpeng Sun, Yiping Xiao

“…This work endeavors to address these challenges and foster sustainable agricultural development by advocating the principles of agricultural green development and sustainability in China. The application principles of digital technology are first expounded alongside a discussion on the foundational concepts of fuzzy systems. …”
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Rating the Impact of Risks in Banking on Performance: Utilizing the Adaptive Neural Network-Based Fuzzy Inference System (ANFIS) by Riyadh Mehdi, Ibrahim Elsiddig Ahmed, Elfadil A. Mohamed

“…This study stands out as one of the few in its field, and the only one focusing on banks in the Middle East and Africa, to employ the adaptive neural network-based fuzzy inference system (ANFIS) that combines neural networks and fuzzy logic systems. …”
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Multi-Criteria Decision Making Model For Hotel Selection Problem Under Complex Dual Hesitant Fuzzy Information by Rasool Niaz Khan, Muhammad Sajjad Ali Khan, Wali Khan Mashwani, Muhammad Ibrar, Tapan Senapati, Sarbast Moslem

“…In addition, a multi-criteria decision-making (MCDM) method based on the proposed operators with the complex dual hesitant fuzzy setting is developed. Moreover, a numerical example is given for the application and effectiveness of the developed MCDM approach. …”
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Novel Multicriteria Decision Making Approach for Interactive Aggregation Operators of q-Rung Orthopair Fuzzy Soft Set by Rana Muhammad Zulqarnain, Imran Siddique, Aiyared Iampan, Jan Awrejcewicz, Maksymilian Bednarek, Rifaqat Ali, Muhammad Asif

“…The very lax requirement gives the evaluators excessive freedom to express their beliefs about membership degrees and non-membership degrees, making q-rung orthopair fuzzy soft set (q-ROFSS) have a broad scope of application in practical life. …”
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