Results 61 to 70 of about 1,768 (180)

Design of a TSK Rule‐Based Model With Granular Rules and Ensemble Learning in Big Data

Complexity, Volume 2026, Issue 1, 2026.
Nowadays, the management and analysis of big data have become major challenges for researchers in the field of data mining. The increasing rate of data generation, along with the need to extract meaningful patterns, highlights the necessity of developing scalable big data analysis methods.
Mohammad Nematpour, Farnaz Mahan, Witold Pedrycz, Habib Izadkhah, Pramita Mishra   +4 more
wiley   +1 more source

Comparison of Neuro‐Fuzzy and Neural Network Techniques for Estimating the Line Voltage of 8E Electrical Locomotives

International Transactions on Electrical Energy Systems, Volume 2026, Issue 1, 2026.
The South African rail sector is a key contributor to the national economy, boosting gross domestic product (GDP) and creating jobs. However, serious malfunctions often jeopardize the reliability of locomotives such as the Class 8E locomotive, leading to lost output and longer lead times.
Rofhiwa C. Mufamadi, Stephen O. Oladipo, Udochukwu B. Akuru, Zhuang Liu   +3 more
wiley   +1 more source

Novel Fuzzy Ostrowski Integral Inequalities for Convex Fuzzy-Valued Mappings over a Harmonic Convex Set: Extending Real-Valued Intervals Without the Sugeno Integrals

Mathematics
This study presents new fuzzy adaptations of Ostrowski’s integral inequalities through a novel class of convex fuzzy-valued mappings defined over a harmonic convex set, avoiding the use of the Sugeno integral. These innovative inequalities generalize the
Mesfer H. Alqahtani, Der-Chyuan Lou, Fahad Sikander, Yaser Saber, Cheng-Chi Lee   +4 more
doaj   +1 more source

Contextual algorithm for decision of fuzzy estimation problems with network-like structure of criteria on the basis of fuzzy measures Sugeno [PDF]

In this article the algorithm for the decision of alternatives' estimation problems for following conditions is considered. Values of alternative's characteristics (properties) are fuzzy. They are formalized as fuzzy sets.
Bocharnikov, Victor, Sveshnikov, Sergey
core   +1 more source

Liveness‐Verified Dynamic Time Warping‐Based Authentication and Hybrid Adaptive Neuro‐Fuzzy Inference System Identification for Single‐Channel Diaphragmatic Breathing Surface Electromyography Biometrics

Advanced Intelligent Systems, Volume 7, Issue 12, December 2025.
The first biometric framework to harness dynamic time warping (DTW) for single‐channel diaphragmatic surface electromyography authentication via post‐hoc alignment is presented. By optimally warping deep–normal–deep breath cycles, DTW achieves perfect genuine–impostor separation (equal error rates = 0%), while a parallel adaptive neuro‐fuzzy inference ...
Beyza Eraslan, Kutlucan Gorur, Feyzullah Temurtas   +2 more
wiley   +1 more source

An empirical study of statistical properties of Choquet and Sugeno integrals [PDF]

This paper investigates the statistical properties of the Choquet and Sugeno integrals, used as multiattribute models. The investigation is done on an empirical basis, and focuses on two topics: the distribution of the output of these integrals when the ...
Eric Raufaste, Michel Grabisch
core  

Joint Actuator and Sensor Fault Diagnosis in Wind Turbine Systems

Wind Energy, Volume 28, Issue 12, December 2025.
ABSTRACT This paper presents a fault diagnosis method for wind turbine systems that can simultaneously detect and estimate both actuator and sensor faults. Unlike previous studies that treat these faults separatelyand focus mainly on pitch angle‐related variables, our study recognizes the interdependence between actuator and sensor faults and expands ...
Evi Elisa Ambarita, Anniken Karlsen, Agus Hasan   +2 more
wiley   +1 more source

Integrating IoT With Machine Learning and Deep Learning Models for Precision Soil‐Less Agriculture: A Review

Artificial Intelligence for Engineering, Volume 1, Issue 2, Page 137-164, 29 December 2025.
IoT‐enabled sensors enable real‐time monitoring of environmental and plant parameters in soil‐less agriculture systems. Machine learning and deep learning models process this data for intelligent decision‐making, automation and precision control. The integration improves productivity and resource efficiency while addressing sustainability challenges in
A. Subeesh, Naveen Chauhan, N. L. Kushwaha   +2 more
wiley   +1 more source

Spontaneous In‐Plane Anomalous Hall Response Observed in a Ferromagnetic Oxide

Advanced Materials, Volume 37, Issue 47, November 27, 2025.
Observation of in‐plane anomalous Hall effect (AHE) is demonstrated in a typical ferromagnet SrRuO3. The (111)‐orientated ultrathin films with in‐plane easy axes exhibit spontaneous AHE at zero field, which is controllable via its intrinsic coupling to the in‐plane spin magnetization through higher order effects allowed by symmetry, revealing the ...
Shinichi Nishihaya, Yuta Matsuki, Haruto Kaminakamura, Hiroki Sugeno, Ming‐Chun Jiang, Yoshiya Murakami, Ryotaro Arita, Hiroaki Ishizuka, Masaki Uchida   +8 more
wiley   +1 more source

General Fritz Carlson's Type Inequality for Sugeno Integrals

Journal of Inequalities and Applications, 2011
Fritz Carlson's type inequality for fuzzy integrals is studied in a rather general form. The main results of this paper generalize some previous results.
Wang Xiaojing, Bai Chuanzhi
doaj