Results 41 to 50 of about 30,095 (301)

Numerical Solution of Fuzzy Fractional Pharmacokinetics Model Arising from Drug Assimilation into the Bloodstream [PDF]

Abstract and Applied Analysis, 2013
We propose a Jacobi tau method for solving a fuzzy fractional pharmacokinetics. This problem can model the concentration of the drug in the blood as time increases. The proposed approach is based on the Jacobi tau (JT) method. To illustrate the reliability of the method, some special cases of the equations are solved as test examples.
Ali Ahmadian, Norazak Senu, Farhad Larki, Soheil Salahshour, Mohamed Suleiman, Md. Shabiul Islam   +5 more
openaire   +3 more sources

Fault diagnosis of induction motor based on decision trees and adaptive neuro-fuzzy inference [PDF]

, 2009
This paper presents a fault diagnosis method based on adaptive neuro-fuzzy inference system (ANFIS) in combination with decision trees. Classification and regression tree (CART) which is one of the decision tree methods is used as a feature selection ...
Yang, Bo-Suk, Tan, Andy Chit Chiow, Tran, Van, Tran, Van Tung, Oh, Myung-Suck, Tan, Andy   +5 more
core   +1 more source

Study on generalized fuzzy fractional human liver model with Atangana–Baleanu–Caputo fractional derivative

The European Physical Journal Plus, 2022
This study aims to develop a novel fuzzy fractional model for the human liver that incorporates the ABC fractional differentiability, also known as ABC gH-differentiability, based on the generalized Hukuhara derivative. In addition, a novel fuzzy double parametric q-homotopy analysis method with a generalized transform and ABC gH-differentiability is ...
Lalchand Verma, Ramakanta Meher
openaire   +2 more sources

An approach to online identification of Takagi-Sugeno fuzzy models [PDF]

, 2004
An approach to the online learning of Takagi-Sugeno (TS) type models is proposed in the paper. It is based on a novel learning algorithm that recursively updates TS model structure and parameters by combining supervised and unsupervised learning.
Angelov, Plamen, Filev, Dimitar, P.P. Angelov, D.P. Filev   +3 more
core   +1 more source

Generalized Fractional Integral Inequalities for p-Convex Fuzzy Interval-Valued Mappings

Fractal and Fractional, 2022
The fuzzy order relation ≽ and fuzzy inclusion relation ⊇ are two different relations in fuzzy-interval calculus. Due to the importance of p-convexity, in this article we consider the introduced class of nonconvex fuzzy-interval-valued mappings known as ...
Muhammad Bilal Khan, Adriana Cătaș, Tareq Saeed   +2 more
doaj   +1 more source

Application of the Extended Kalman filter to fuzzy modeling: Algorithms and practical implementation

, 2011
Modeling phase is fundamental both in the analysis process of a dynamic system and the design of a control system. If this phase is in-line is even more critical and the only information of the system comes from input/output data.
Jose Manuel Andujar Marquez, Andujar Marquez, Jose Manuel, Aznar Torres, Mariano Jose, Al-Hadithi, Basil Mohammed, Barragán Piña, Antonio Javier, Antonio Javier Barragan Pina, Al-Hadithi, Basil M., Aznar Torres, Mariano J., Jiménez Avello, Agustín, Agustin Jimenez, Basil M Al-Hadithi, Mariano J. Aznar Torres   +11 more
core   +1 more source

Fuzzy Fractional-Order PID Controller for Fractional Model of Pneumatic Pressure System [PDF]

Mathematical Problems in Engineering, 2018
This article presents a fuzzy fractional-order PID (FFOPID) controller scheme for a pneumatic pressure regulating system. The industrial pneumatic pressure systems are having strong dynamic and nonlinearity characteristics; further, these systems come across frequent load variations and external disturbances.
M. Al-Dhaifallah, N. Kanagaraj, K. S. Nisar   +2 more
openaire   +1 more source

Methodology for adapting the parameters of a fuzzy system using the extended Kalman filter

, 2011
When we try to analyze and to control a system whose model was obtained only based on input/output data, accuracy is essential in the model. On the other hand, to make the procedure practical, the modeling stage must be computationally efficient. In this
Jose Manuel Andujar Marquez, Andujar Marquez, Jose Manuel, Aznar Torres, Mariano Jose, Al-Hadithi, Basil Mohammed, Barragán Piña, Antonio Javier, Basil M. Al-Hadithi, Antonio Javier Barragan Pina, Al-Hadithi, Basil M., Aznar Torres, Mariano J., Jiménez Avello, Agustín, Agustin Jimenez Avello, Mariano J. Aznar Torres   +11 more
core   +1 more source

Guest Editorial : Evolving Fuzzy Systems : preface to the special section. [PDF]

, 2008
It is a well-recognized fact that the theory of fuzzy sets and systems, for the last four decades after the seminal paper by Professor Zadeh [1], has demonstrated its remarkable ability to go beyond conventional information representation. It resulted in
Angelov, Plamen, Filev, Dimitar, Dimitar Filev, Kasabov, Nikola, Plamen Angelov, Nikola Kasabov   +5 more
core   +1 more source

Exploring SEIR Influenza Epidemic Model via Fuzzy ABC Fractional Derivatives with Crowley–Martin Incidence Rate

Fractal and Fractional
Despite initial changes in respiratory illness epidemiology due to SARS-CoV-2, influenza activity has returned to pre-pandemic levels, highlighting its ongoing challenges.
F. Gassem, Ashraf A. Qurtam, Mohammed Almalahi, Mohammed Rabih, Khaled Aldwoah, Abdelaziz El-Sayed, E. I. Hassan   +6 more
doaj   +1 more source