Results 41 to 50 of about 882 (207)

Diabetic Retinopathy Classification With Convolutional Neural Networks Designed by the Fuzzy Grey Wolf Optimizer With Parameter Adaptation

open access: yesAI &Innovation, EarlyView.
ABSTRACT The detection and classification of diseases have become a field of interest for artificial intelligence in recent years, where the development of methods and models that allow support for specialists in different health fields has allowed early detection of diseases and the provision of timely treatment to patients.
Rodrigo Cordero‐Martínez   +2 more
wiley   +1 more source

Revaluation of Student Failure Reasons Using Non-Additive Methods

open access: yesمجلة بغداد للعلوم, 2017
In this paper, An application of non-additive measures for re-evaluating the degree of importance of some student failure reasons has been discussed. We apply non-additive fuzzy integral model (Sugeno, Shilkret and Choquet) integrals for some expected ...
Baghdad Science Journal
doaj   +1 more source

Box–Behnken optimization and ANN‐ANFIS integrated modelling for transesterification using thermally activated basic oxygen furnace slag catalyst

open access: yesThe Canadian Journal of Chemical Engineering, EarlyView.
Abstract Global energy demand and environmental concerns have intensified the search for renewable and sustainable energy sources. This study thus, focuses on optimizing the transesterification process of waste cooking oil (WCO) using thermally activated basic oxygen furnace slag catalyst calcined at 850°C (BOF 850). The optimization and modelling were
Johra S. Ali, Hillary L. Rutto
wiley   +1 more source

Fault‐Tolerant Fuzzy Boundary Control for Nonlinear Distributed Parameter Systems Under Limited Measurements and Markovian Failures

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT This paper proposes a boundary control method for nonlinear distributed parameter systems (DPSs) with limited boundary measurements (BMs), as typically encountered in networked cyber‐physical processes with spatially distributed dynamics such as thermal and biomedical diffusion systems.
Yanlin Li   +5 more
wiley   +1 more source

Explicit Descriptions of Associative Sugeno Integrals [PDF]

open access: yes, 2010
The associativity property, usually defined for binary functions, can be generalized to functions of a given fixed arity n ≥ 1 as well as to functions of multiple arities. In this paper, we investigate these two generalizations in the case of Sugeno integrals over bounded distributive lattices and present explicit descriptions of the corresponding ...
Miguel Couceiro, Jean-Luc Marichal
openaire   +2 more sources

Sugeno integral of monotone functions based on Lebesgue measure

open access: yes, 2008
Román-Flores et al. [H. Román-Flores, A. Flores-Franulic, Y. Chalco-Cano, The fuzzy integral for monotone functions, Applied Mathematics and Computation 185 (2007) 492–498] gave some optimal upper bounds for the Sugeno integral of continuous and strictly
Ouyang, Yao, Fang, Jinxuan
core   +1 more source

Memory‐based ISMC design of DFIG‐based wind turbine model via T‐S fuzzy approach

open access: yesIET Control Theory & Applications, 2021
This paper investigates the memory‐based integral sliding mode control (SMC) design for nonlinear doubly fed induction generator model. The proposed nonlinear doubly fed induction generator model is equivalent to linear sub‐systems via fuzzy membership ...
Ramasamy Subramaniyam, Young Hoon Joo
doaj   +1 more source

Adaptive Sliding Mode Control Design for Interval Type‐2 T–S Fuzzy Systems With Time Delay: An Event‐Triggered Approach

open access: yesInternational Journal of Robust and Nonlinear Control, Volume 36, Issue 12, Page 6047-6067, August 2026.
ABSTRACT In this work, a new event‐triggered adaptive first‐order sliding mode control method is proposed for nonlinear systems with constant time delays, modeled by interval type‐2 Takagi–Sugeno (T–S) fuzzy systems. To handle matched disturbances with unknown upper bounds, a non‐overestimating adaptation strategy for the control coefficient is ...
Rodrigo Possidonio Noronha   +1 more
wiley   +1 more source

Explicit Descriptions of Bisymmetric Sugeno Integrals [PDF]

open access: yes, 2010
We provide sufficient conditions for a Sugeno integral to be bisymmetric. We explicitly describe bisymmetric Sugeno integrals over chains.
Miguel Couceiro, Erkko Lehtonen
openaire   +2 more sources

Neural Network Combination by Fuzzy Integral for Robust Change Detection in Remotely Sensed Imagery

open access: yesEURASIP Journal on Advances in Signal Processing, 2005
Combining multiple neural networks has been used to improve the decision accuracy in many application fields including pattern recognition and classification.
Nemmour Hassiba, Chibani Youcef
doaj   +1 more source

Home - About - Disclaimer - Privacy