Results 71 to 80 of about 7,000 (214)
H ? filtering for stochastic singular fuzzy systems with time-varying delay [PDF]
This paper considers the H? filtering problem for stochastic singular fuzzy systems with timevarying delay. We assume that the state and measurement are corrupted by stochastic uncertain exogenous disturbance and that the system dynamic is modeled ...
Cai, Min +3 more
core +1 more source
A Sugeno integral representation under Stone condition
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Chateauneuf, Alain, Rico, Agnès
openaire +3 more sources
Design of a TSK Rule‐Based Model With Granular Rules and Ensemble Learning in Big Data
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 +4 more
wiley +1 more source
System reliability and weighted lattice polynomials [PDF]
The lifetime of a system of connected units under some natural assumptions can be represented as a random variable Y defined as a weighted lattice polynomial of random lifetimes of its components.
Alexander Dukhovny +3 more
core +2 more sources
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 +3 more
wiley +1 more source
A suitable solution for a nonlinear descriptor system with uncertainties is considered in this paper by designing a fuzzy-modeled prescribed performance integral controller.
Chonnikarn Vorrawan +3 more
doaj +1 more source
A decade of application of the Choquet and Sugeno integrals in multi-criteria decision aid [PDF]
The main advances regarding the use of the Choquet and Sugeno integrals in multi-criteria decision aid over the last decade are reviewed. They concern mainly a bipolar extension of both the Choquet integral and the Sugeno integral, interesting particular
Christophe Labreuche, Michel Grabisch
core
Enabling Explainable Fusion in Deep Learning with Fuzzy Integral Neural Networks
Information fusion is an essential part of numerous engineering systems and biological functions, e.g., human cognition. Fusion occurs at many levels, ranging from the low-level combination of signals to the high-level aggregation of heterogeneous ...
Anderson, Derek T. +5 more
core +1 more source
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 +2 more
wiley +1 more source
Hölder Type Inequalities for Sugeno Integrals under Usual Multiplication Operations
The classical Hölder inequality shows an interesting upper bound for Lebesgue integral of the product of two functions. This paper proposes Hölder type inequalities and reverse Hölder type inequalities for Sugeno integrals under usual multiplication ...
Dug Hun Hong, Jae Duck Kim
doaj +1 more source

