Generalization of the Fuzzy Fejér–Hadamard Inequalities for Non-Convex Functions over a Rectangle Plane by Hanan Alohali, Valer-Daniel Breaz, Omar Mutab Alsalami, Luminita-Ioana Cotirla, Ahmed Alamer

“…The theory of integral inequalities is one of the branches of mathematics that is now developing at the quickest rate due to its wide range of applications. We define a new Hermite–Hadamard inequality for the novel class of coordinated ƛ-pre-invex fuzzy number-valued mappings (<i>C</i>-ƛ-pre-invex <i>F</i><i>N</i><i>V</i><i>M</i>s) and examine the idea of <i>C</i>-ƛ-pre-invex <i>F</i><i>N</i><i>V</i><i>M</i>s in this paper. …”
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Penalized Intuitionistic Fuzzy Goal Programming Method for Solving Multi-Objective Decision-Making Problems by Demmelash Mollalign Moges, Berhanu Guta Wordofa, Allen Rangia Mushi

“…Although such types of problems solved by fuzzy optimization are common in the literature, intuitionistic fuzzy optimization techniques are more efficient to handle than fuzzy and classical optimization. …”
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Interference Suppression Algorithm for Microthrust Measurement System Based on Particle Swarm Optimization Fuzzy PID by Liye Zhao, Xiaolu Xiong, Mingming Han

“…Micronewton thrusters have a wide range of applications in the aerospace field, and the accuracy of micronewton thrust measurement is directly affected by environmental vibration. …”
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Optimized fuzzy logic and sliding mode control for stability and disturbance rejection in rotary inverted pendulum by Thi-Van-Anh Nguyen, Quy-Thinh Dao, Ngoc-Tam Bui

“…The proposed controller synergistically combines an Optimized Fuzzy Logic Controller (OFLC) with Sliding Mode Control (SMC), leveraging the strengths of both techniques to achieve superior performance. …”
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Universal Keyword Classifier on Public Key Based Encrypted Multikeyword Fuzzy Search in Public Cloud by Shyamala Devi Munisamy, Arun Chokkalingam

“…Our proposed Asymmetric Classifier Multikeyword Fuzzy Search method provides classifier search server that creates universal keyword classifier for the multiple keyword request which greatly reduces the searching time by learning the search path pattern for all the keywords in the fuzzy keyword set. …”
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Design of Intelligent Fuzzy Neural Network Control for Variable Stiffness Actuated Manipulator for Uncertain Payload by Praveen Kumar Muthusamy, Zhenwei Niu, Kshetrimayum Lochan, Lakmal Seneviratne, Irfan Hussain

“…This new algorithm for fuzzy layer setup can serve as a default for all fuzzy neural network-based controllers, enhancing their ease of use across various applications. …”
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A fuzzy rank-based deep ensemble methodology for multi-class skin cancer classification by Arindam Halder, Anogh Dalal, Sanghita Gharami, Marcin Wozniak, Muhammad Fazal Ijaz, Pawan Kumar Singh

“…Thus the model is efficient for skin cancer classification, showcasing its potential for clinical applications.…”
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Directed Fuzzy Edge Graphs Under q-ROF Environment: A Framework for Optimal Pathfinding by Nazia Nazir, Tanzeela Shaheen, Wajid Ali, Md Rafiul Hassan, Mohammad Mehedi Hassan

“…This paper introduces a novel framework of Directed Edge q-Rung Orthopair Fuzzy Graphs (DEq-ROFGs), where graph vertices are crisp, and edges are characterized by q-rung orthopair fuzzy numbers (q-ROFNs). …”
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Feedforward–Feedback Fuzzy-PID Water Level Control using PLC and Node-RED IoT by Adhitya Sumardi Sunarya, Fitria Suryatini, Nuryanti Nuryanti, Abdur Rohman Harist M, Gailan Anaisabury

“…This research proposes a combined feedforward–feedback control system using a Fuzzy-PID algorithm implemented on an Omron CP1H PLC, integrated with an IoT-based Node-RED monitoring interface. …”
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Applying Fuzzy Decision-Making and Markov Chain Modelling for Detecting Life Cycle of RC Bridges by Ahmed Abdelallim, Yasmin shalaby, Gamal Ebrahim, Mohamed Badawy

“…Objective of this study is to investigate the more accurate and applicable AI-driven technique for assessing reinforced concrete bridges. …”
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DDoS attack detection in intelligent transport systems using adaptive neuro-fuzzy inference system by G. Usha, H. Karthikeyan, Kumar Gautam, Nikhil Pachauri

“…The learning approach of artificial neural networks and the fuzzy logic model is integrated into the Fuzzy System. …”
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Autonomous vehicle surveillance through fuzzy C-means segmentation and DeepSORT on aerial images by Asifa Mehmood Qureshi, Moneerah Alotaibi, Sultan Refa Alotaibi, Dina Abdulaziz AlHammadi, Muhammad Asif Jamal, Ahmad Jalal, Bumshik Lee

“…The high mobility of uncrewed aerial vehicles (UAVs) has led to their usage in various computer vision applications, notably in intelligent traffic surveillance, where it enhances productivity and simplifies the process. …”
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A Malmquist fuzzy data envelopment analysis model for performance evaluation of rural healthcare systems by Vishal Chaubey, Deena Sunil Sharanappa, Kshitish Kumar Mohanta, Rajkumar Verma

“…The suggested ranking technique is used to construct the fuzzy data envelopment analysis (FDEA), Malmquist fuzzy DEA (Mal-FDEA), and undesirable Malmquist fuzzy DEA (UN-Mal-FDEA ) models. …”
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A Formal Fuzzy Concept-Based Approach for Association Rule Discovery with Optimized Time and Storage by Gamal F. Elhady, Haitham Elwahsh, Maazen Alsabaan, Mohamed I. Ibrahem, Ebtesam Shemis

“…The necessity of this research stems from the high computational cost and redundancy associated with traditional fuzzy approaches, which, while capable of managing quantitative and imprecise data, are often impractical for large-scale applications in real scenarios. …”
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Heating Load Prediction with Meta-Heuristic ‎Algorithms and Adaptive Neuro-Fuzzy ‎Inference System Integration by Seyed Hadi Seyed Hatami, Reza Seifi Majdar

“…Accurate forecasting of energy demands, combined with detailed studies on renovation possibilities, is essential in building management and is becoming increasingly important in both research and practical applications. Addressing this need, this study adopts a holistic ap-proach by integrating advanced optimization algorithms with precise heating load prediction techniques. …”
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ECG-based cardiac arrhythmia classification using fuzzy encoded features and deep neural networks by Kiruthika Balakrishnan, Durgadevi Velusamy, Karthikeyan Ramasamy, Lisiane Pruinelli

“…The integration of FBSE-TQWT with a fuzzy deep neural network represents a substantial advancement in ECG-based arrhythmia detection, offering improved accuracy, robustness, and clinical applicability, particularly in distinguishing minority classes such as supraventricular ectopic beats (SVEB) and fusion beats (F).…”
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A novel adversarial deep TSK fuzzy classifier with its inverse-free fast training by Limin Mao, Hangming Shi, Yongxin Chou, Jinliang Cong, Mingli Lu, Zekang Bian, Suhang Gu

“…In particular, by sharing the merits of the Schur complement and Sherman–Morrison formula, the consequent parameters of all fuzzy rules in each ATSK can be determined without the matrix inversion operation, and the corresponding optimal number of fuzzy rules can be optimized based on the previous consequent parameters of all fuzzy rules. …”
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Exploiting adaptive neuro-fuzzy inference systems for cognitive patterns in multimodal brain signal analysis by T. Thamaraimanalan, Dhanalakshmi Gopal, S. Vignesh, K Kishore kumar

“…ANFIS combines the adaptability of neural networks with the interpretability of fuzzy logic, making it well-suited to model the non-linear relationships within brain signals. …”
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Adaptive Fuzzy C-Means with logit boost distributed clustering for cancer detection with protein sequences by K. Thenmozhi, M. Pyingkodi, V. S. Prakash, Kripa Josten, S. Manju Priya, J. Vennila

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Dynamical analysis of fractional hepatitis B model with Gaussian uncertainties using extended residual power series algorithm by Qursam Fatima, Mubashir Qayyum, Murad Khan Hassani, Ali Akgül

“…A stability analysis is conducted for disease-free equilibrium and to address the inherent uncertainties in parameter values, Gaussian fuzzy numbers are incorporated, resulting in a more realistic predictive framework. …”
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