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1
Multiple Fuzzy Classification Systems
Springer-Verlag Berlin Heidelberg
Rafał Scherer (auth.)
fuzzy
zrj
μak
systems
zkj
μal
neuro
sets
classification
μa
algorithm
membership
ensembles
classifier
classifiers
function
output
relational
features
boosting
μbk
values
logical
μb
formula
inference
mamdani
defined
methods
backpropagation
input
exp
method
adaboost
springer
accuracy
scherer
implication
linguistic
heidelberg
parameters
presented
dcog
norm
functions
neural
vector
weights
introduction
modified
Anno:
2012
Lingua:
english
File:
PDF, 2.63 MB
I tuoi tag:
0
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0
english, 2012
2
Advanced Concepts in Fuzzy Logic and Systems with Membership Uncertainty
Springer-Verlag Berlin Heidelberg
Janusz T. Starczewski (auth.)
fuzzy
membership
sets
systems
triangular
interval
valued
functions
function
gaussian
fuzzification
centroid
singleton
extended
μa
approximation
uncertainty
exp
uncertain
μk
norm
values
input
defuzzification
classification
mendel
norms
possibility
δk
ymin
ymax
product
possibilistic
otherwise
theorem
method
starczewski
δn
misclass
μb
grades
antecedent
characterized
intervals
continuous
reasoning
ypr
defined
μak
inputs
Anno:
2013
Lingua:
english
File:
PDF, 5.94 MB
I tuoi tag:
0
/
0
english, 2013
3
Advanced Concepts in Fuzzy Logic and Systems with Membership Uncertainty
Springer
Janusz T. Starczewski
fuzzy
membership
sets
systems
triangular
interval
valued
functions
function
gaussian
fuzzification
centroid
singleton
extended
μa
approximation
uncertainty
exp
uncertain
μk
norm
values
input
defuzzification
classification
mendel
norms
possibility
δk
ymin
ymax
product
possibilistic
otherwise
theorem
method
starczewski
δn
misclass
μb
grades
antecedent
characterized
intervals
continuous
reasoning
ypr
defined
μak
inputs
Anno:
2012
Lingua:
english
File:
PDF, 7.54 MB
I tuoi tag:
0
/
0
english, 2012
4
Rough Set–Based Classification Systems
Springer International Publishing
Robert K. Nowicki
fuzzy
values
classifier
neural
input
sets
classification
decision
systems
network
classifiers
samples
iterative
configuration
decisions
neuro
zrj
intervals
defuzzification
nearest
networks
reasoning
examples
width
neighbour
incorrect
correct
interval
diagnostics
output
reference
iterations
defined
algorithm
function
mamdani
inference
membership
realising
presented
features
p̃
nowicki
implication
implications
ranges
illustrative
singleton
dcog
μak
Anno:
2019
Lingua:
english
File:
PDF, 10.69 MB
I tuoi tag:
0
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0
english, 2019
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