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Springer电子图书(1)
SpringerLink电子期刊(55)
Elsevier电子期刊(60)
在“
Elsevier电子期刊
”中,
命中:
60
条,耗时:0.0279852 秒
在所有数据库中总计命中:
116
条
1.
Some new qualitative insights into quality of
fuzzy
rule
-
based
models
作者:
Jeremy Kerr-Wilson
a
;
kerrwils@ualberta.ca" class="auth_mail" title="E-mail the corresponding author
;
Witold Pedrycz
a
;
b
;
c
;
wpedrycz@ualberta.ca" class="auth_mail" title="E-mail the corresponding author
关键词:
Fuzzy
systems
;
Fuzzy
models
;
Interpretability
;
Stability
;
Consistency
;
FCM
;
Fuzzy
rule
;
Data-driven
;
Rule
quality
;
Machine learning
刊名:
Fuzzy
Sets
and
Systems
出版年:2017
2.
Interpretable
and
accurate medical data classification - a multi-objective genetic-
fuzzy
optimization approach
作者:
Marian B. Gorzałczany
;
m.b.gorzalczany@tu.kielce.pl
;
Filip Rudziński
f.rudzinski@tu.kielce.pl
关键词:
Accuracy
and
interpretability
of medical classification
systems
;
Medical decision support
;
Multi-objective evolutionary optimization
;
Fuzzy
rule
-
based
systems
;
Genetic computations
刊名:Expert
Systems
with Applications
出版年:2017
3.
A multi-objective genetic optimization for fast,
fuzzy
rule
-
based
credit classification with balanced
accuracy
and
interpretability
作者:
Marian B. Gorzałczany
;
m.b.gorzalczany@tu.kielce.pl" class="auth_mail" title="E-mail the corresponding author
;
Filip Rudziński
f.rudzinski@tu.kielce.pl" class="auth_mail" title="E-mail the corresponding author
关键词:
Accuracy
and
interpretability
of credit classification
systems
;
Financial decision support
;
Multi-objective evolutionary optimization
;
Fuzzy
rule
-
based
systems
;
Genetic computations
刊名:Applied Soft Computing
出版年:2016
4.
A multi-objective genetic optimization of
interpretability
-oriented
fuzzy
rule
-
based
classifiers
作者:
Filip Rudziński
;
f.rudzinski@tu.kielce.pl" class="auth_mail" title="E-mail the corresponding author
关键词:
Accuracy
and
interpretability
of
fuzzy
rule
-
based
systems
;
Multi-objective genetic optimization
;
Evolutionary computations
;
Fuzzy
systems
刊名:Applied Soft Computing
出版年:2016
5.
On the influence of feature selection in
fuzzy
rule
-
based
regression model generation
作者:
Michela Antonelli
michela.antonelli@iet.unipi.it" class="auth_mail" title="E-mail the corresponding author
;
Pietro Ducange
pietro.ducange@iet.unipi.it" class="auth_mail" title="E-mail the corresponding author
;
Francesco Marcelloni
;
francesco.marcelloni@iet.unipi.it" class="auth_mail" title="E-mail the corresponding author
;
Arm
and
o Segatori
arm
and
o.segatori@for.unipi.it" class="auth_mail" title="E-mail the corresponding author
关键词:
Fuzzy
rule
-
based
systems
;
Feature selection
;
Multi-objective evolutionary
fuzzy
rule
-
based
systems
;
Fuzzy
mutual information
;
Regression problems
;
High dimensional datasets
刊名:Information Sciences
出版年:2016
6.
Fuzzy
rule
base simplification using multidimensional scaling
and
constrained optimization
作者:
George E. Tsekouras
;
gtsek@ct.aegean.gr" class="auth_mail" title="E-mail the corresponding author
关键词:
Fuzzy
modeling
;
Interpretability
;
Accuracy
;
Multidimensional scaling
;
Approximated similarity measures
;
Non-linear constrained optimization
刊名:
Fuzzy
Sets
and
Systems
出版年:2016
7.
Competitive interaction reasoning: A bio-inspired reasoning method for
fuzzy
rule
based
classification
systems
作者:
Hamidreza Jamalabadi
a
;
c
;
hamidreza.jamalabadi@uni-tuebingen.de" class="auth_mail" title="E-mail the corresponding author
;
h.r.jamalabadi@gmail.com" class="auth_mail" title="E-mail the corresponding author
;
Hossein Nasrollahi
a
;
h.nasrollahi@ut.ac.ir" class="auth_mail" title="E-mail the corresponding author
;
Sarah Alizadeh
a
;
c
;
sarah.alizadeh@uni-tuebingen.de" class="auth_mail" title="E-mail the corresponding author
;
Babak Nadjar Araabi
a
;
b
;
araabi@ut.ac.ir" class="auth_mail" title="E-mail the corresponding author
;
Majid Nili Ahamadabadi
a
;
b
;
mnili@ut.ac.ir" class="auth_mail" title="E-mail the corresponding author
关键词:
Fuzzy
classification
;
Bio-inspired competition
;
Competitive interaction reasoning
刊名:Information Sciences
出版年:2016
8.
Genetic generation of
fuzzy
systems
with
rule
extraction using formal concept analysis
作者:
M.E. Cintra
;
a
;
mecintra@gmail.com" class="auth_mail" title="E-mail the corresponding author
;
H.A. Camargo
b
;
heloisa@dc.ufscar.br" class="auth_mail" title="E-mail the corresponding author
;
M.C. Monard
c
;
mcmonard@icmc.usp.br" class="auth_mail" title="E-mail the corresponding author
关键词:
Genetic
fuzzy
systems
;
Formal concept analysis
;
Classification
刊名:Information Sciences
出版年:2016
9.
An
interpretability
improvement for
fuzzy
rule
bases obtained by the iterative
rule
learning approach
作者:
David Garcí
;
a
a
;
1
;
dgarcia@decsai.ugr.es" class="auth_mail" title="E-mail the corresponding author
;
Juan Carlos Gá
;
mez
b
;
2
;
jcgamez@uco.es" class="auth_mail" title="E-mail the corresponding author
;
Antonio Gonzá
;
lez
a
;
1
;
A.Gonzalez@decsai.ugr.es" class="auth_mail" title="E-mail the corresponding author
;
Raú
;
l Pé
;
rez
a
;
1
;
Raul_Perez@decsai.ugr.es" class="auth_mail" title="E-mail the corresponding author
关键词:
Fuzzy
rule
modeling
;
Interpretability
;
Complexity reduction
;
Genetic algorithms
;
Classification problems
刊名:International Journal of Approximate Reasoning
出版年:2015
10.
A discussion on
interpretability
of linguistic
rule
based
systems
and
its application to solve regression problems
作者:
Cat Ho Nguyen
a
;
b
;
ncatho@gmail.com" class="auth_mail" title="E-mail the corresponding author
;
Van Thong Hoang
c
;
thonghoangvan@yahoo.com" class="auth_mail" title="E-mail the corresponding author
;
Van Long Nguyen
c
;
nvlongdt@yahoo.com.vn" class="auth_mail" title="E-mail the corresponding author
关键词:
Fuzzy
rule
based
systems
;
Order-
based
semantics of words
;
Hedge algebras
;
Semantics-
based
interpretability
;
Order-
based
semantics of
rule
s
;
Regression problems
刊名:Knowledge-
Based
Systems
出版年:2015
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