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在“
Elsevier电子期刊
”中,
命中:
1,257
条,耗时:小于0.01 秒
在所有数据库中总计命中:
1,782
条
1.
Generalized comonotonicity and new axiomatizations of
Sugeno
integrals on bounded distributive lattices
作者:
Radomí
;
r Hala&scaron
;
a
;
radomir.halas@upol.cz
;
Radko Mesiar
a
;
b
;
radko.mesiar@stuba.sk
;
Jozef Pó
;
cs
a
;
c
;
pocs@saske.sk
关键词:
Bounded distributive lattice
;
Comonotonicity
;
Information fusion
;
Sugeno
integral
刊名:International Journal of Approximate Reasoning
出版年:2017
2.
Jensen-type inequalities for
Sugeno
integral
作者:
Sadegh Abbaszadeh
a
;
abbaszadeh@semnan.ac.ir" class="auth_mail" title="E-mail the corresponding author
;
Madjid Eshaghi Gordji
a
;
meshaghi@semnan.ac.ir" class="auth_mail" title="E-mail the corresponding author
;
Endre Pap
;
b
;
c
;
pape@eunet.rs" class="auth_mail" title="E-mail the corresponding author
;
epap@singidunum.ac.rs" class="auth_mail" title="E-mail the corresponding author
;
Anikó
;
Szaká
;
l
c
;
szakal@bmf.hu" class="auth_mail" title="E-mail the corresponding author
关键词:
Sugeno
integral
;
The Jensen inequality
;
Concave function
;
Supergradient
;
Superdifferential
刊名:Information Sciences
出版年:2017
3.
Asymptotically necessary and sufficient conditions for Takagi-
Sugeno
models using generalized non-quadratic parameter-dependent controller design
作者:
Raymundo Má
;
rquez
a
;
b
;
raymundo.marquez@itson.edu.mx" class="auth_mail" title="E-mail the corresponding author
;
Thierry Marie Guerra
a
;
Miguel Bernal
b
;
Alexandre Kruszewski
c
关键词:
Takagi&ndash
;
Sugeno
model
;
Non-quadratic Lyapunov function
;
Linear matrix inequality
;
Non-parallel distributed compensation
刊名:Fuzzy Sets and Systems
出版年:2017
4.
Takagi-
Sugeno
fuzzy model based robust dissipative control for uncertain flexible spacecraft with saturated time-delay input
作者:
Shidong Xu
shidongxu@hit.edu.cn
shidongxuhit@gmail.com
;
Guanghui Sun
;
guanghuisun@hit.edu.cn
;
Weichao Sun
1984sunweichao@gmail.com
关键词:
Takagi&ndash
;
Sugeno
fuzzy system
;
Flexible spacecraft
;
Robust dissipative control
;
Saturated time-delay input
;
Convex optimization technique
刊名:ISA Transactions
出版年:2017
5.
Decentralized fault-tolerant control for a class of nonlinear large-scale systems with actuator faults
作者:
Chao Deng
a
;
dengchao_neu@126.com
;
Guang-Hong Yang
;
a
;
b
;
yangguanghong@ise.neu.edu.cn
;
yangguanghong@mail.neu.edu.cn
关键词:
Fault-tolerant control (FTC)
;
Matched uncertainty
;
Linear matrix inequalities (LMIs)
;
Takagi-
Sugeno
(T-S) fuzzy model
;
Large-scale systems
刊名:Information Sciences
出版年:2017
6.
Piecewise-Takagi-
Sugeno
asymptotically exact estimation of the domain of attraction of nonlinear systems
作者:
Temoatzin Gonzá
;
lez
a
;
temoatzin.g@gmail.com
;
Antonio Sala
a
;
Miguel Bernal
b
;
Ruben Robles
a
刊名:Journal of the Franklin Institute
出版年:2017
7.
Multi-layer architecture for adaptive fuzzy inference system with a large number of input features
作者:
Mohammad Saber Iraji
;
iraji.ms@gmail.com
;
m.iraji@golestan.pnu.ac.ir
关键词:
Adaptive fuzzy neural network
;
365-day concrete
;
Takagi-
sugeno
;
Multi-layer ANFIS
;
Limitation
刊名:Cognitive Systems Research
出版年:2017
8.
Mixed H
2
/H
∞
fuzzy proportional-spatial integral control design for a class of nonlinear distributed parameter systems
作者:
Jun-Wei Wang
a
;
junweiwang@ustb.edu.cn" class="auth_mail" title="E-mail the corresponding author
;
Huai-Ning Wu
b
;
Yao Yu
a
;
Chang-Yin Sun
a
关键词:
Distributed parameter systems
;
Exponential stability
;
Proportional-spatial integral control
;
Takagi&ndash
;
Sugeno
(T&ndash
;
S) fuzzy model
;
Linear matrix inequalities (LMIs)
刊名:Fuzzy Sets and Systems
出版年:2017
9.
The granular extension of
Sugeno
-type fuzzy models based on optimal allocation of information granularity and its application to forecasting of time series
作者:
Wei Lu
a
;
luwei@dlut.edu.cn" class="auth_mail" title="E-mail the corresponding author
;
Liyong Zhang
a
;
Witold Pedrycz
b
;
c
;
d
;
Jianhua Yang
a
;
Xiaodong Liu
a
关键词:
Granular computing
;
Information granularity
;
The
Sugeno
-type fuzzy model
;
The
Sugeno
-type granular model
;
Time series
;
Modeling and prediction
刊名:Applied Soft Computing
出版年:2016
10.
A fully-online Neuro-Fuzzy model for flow forecasting in basins with limited data
作者:
Mohammad Ashrafi
a
;
mohammad021@e.ntu.edu.sg
;
mashrafi.eng@gmail.com
;
Lloyd Hock Chye Chua
a
;
b
;
lloyd.chua@deakin.edu.au
;
Chai Quek
c
;
ashcquek@ntu.edu.sg
;
Xiaosheng Qin
a
;
d
;
xsqin@ntu.edu.sg
关键词:
Runoff forecasting
;
Online
;
Neuro-fuzzy model
;
Self-Evolving Takagi-
Sugeno
-Kang
;
Mekong River
刊名:Journal of Hydrology
出版年:2017
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