Soft Computing in Artificial Intelligence

157 Pages·2014·7.443 MB·English

by  Young Im Cho, Eric T. Matson (eds.)

Advances in Intelligent Systems and Computing 270
Young Im Cho
Donghan Kim
Eric T. Matson Editors
Soft Computing
in Artifi cial
Intelligence
Advances in Intelligent Systems and Computing
Volume 270
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·
Young Im Cho Donghan Kim
Eric T. Matson
Editors
Soft Computing
in Artificial Intelligence
ABC
Editors
YoungImCho EricT.Matson
UniversityofSuwon PurdueUniversity
Gyeonggi-do WestLafayette,IN
Korea USA
DonghanKim
KyungheeUniversity
Gyeonggi-do
Korea
ISSN2194-5357 ISSN2194-5365 (electronic)
ISBN978-3-319-05514-5 ISBN978-3-319-05515-2 (eBook)
DOI10.1007/978-3-319-05515-2
SpringerChamHeidelbergNewYorkDordrechtLondon
LibraryofCongressControlNumber:2014933213
(cid:2)c SpringerInternationalPublishingSwitzerland2014
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Preface
This book explores the concept of artificial intelligence based on knowledge-based
algorithms.Given the currenthardware and software technologiesand artificial intel-
ligence theories, we can think of how efficient to providea solution, how best to im-
plementa modeland how successfulto achieveit. This editionprovidesreaderswith
themostrecentprogressandnovelsolutionsinartificialintelligence.Thisbookaimsat
presentingtheresearchresultsandsolutionsofapplicationsinrelevancewithartificial
intelligence technologies. We propose to researchers and practitioners some methods
toadvancetheintelligentsystemsandapplyartificialintelligencetospecificorgeneral
purpose.This book consists of 13 contributionsthat feature fuzzy (r, s)-minimalpre-
and β-open sets, handlingbig coocurrencematrices, Xie-Beni-typefuzzy cluster val-
idation, fuzzy c-regression models, combination of genetic algorithm and ant colony
optimization, building expertsystem, fuzzy logic and neural network, individual role
adaptationforteamsports,applicationofpolynomialneuralnetworks,recursiveneuro-
fuzzy algorithm for water management, application of interactive genetic algorithm,
andArtificialNeuralNetwork(ANN)model.Thiseditionispublishedinoriginal,peer
reviewedcontributionscoveringfrominitialdesigntofinalprototypesandverifications.
Tohelpreadersunderstandarticles,wedescribetheshortintroductionofeacharticle
asfollows;
1.“Fuzzy(r,s)-minimalpreopensetsandfuzzy(r,s)-Mprecontinuousmappingson(r,
s)-fuzzy minimal spaces”: This article introduces the concept of fuzzy (r, s)-minimal
preopenset on an (r, s)-fuzzy minimal space. The authorsalso introduce the concept
of fuzzy (r, s)-M precontinuous mapping which is a generalization of fuzzy (r, s)-M
continuousmapping,andinvestigatecharacterizationoffuzzy(r,s)-Mprecontinuity.
2. “On fuzzy (r, s)-minimal β-open sets on (r, s)-fuzzy minimal spaces”: This paper
introduces the concept of fuzzy (r, s)-minimal β-open set on an (r, s)-fuzzy minimal
space and basic some properties. The authors also introduce the concept of fuzzy (r,
s)-Mβ-continuousmappingwhichisageneralizationoffuzzy(r,s)-Msemicontinuous
mapping and fuzzy (r, s)-M precontinuous mapping, and investigate characterization
forsuchmappings.
3.“HandlingVeryLargeCooccurrenceMatricesin FuzzyCo-clusteringbySampling
VI Preface
Approaches”: This article presents how to apply the sampling approaches to fuzzy
co-clusteringtasks forhandlingcooccurrencematricescomposedof manyobjects. In
some modified approaches, item memberships are utilized in conjunction with other
objectsforinheritingthepropertyofothersamplesets.
4.“Xie-Beni-typeFuzzyClusterValidationinFuzzyCo-clusteringofDocumentsand
Keywords”:ThispaperdescribestheapplicabilityofaXie-Beni-typeco-clustervalid-
ityindextoFuzzyCo-clusteringofDocumentsandKeywords(FuzzyCoDoK).InXie-
Beni-typeindices,intra-clusterdeviationsandinter-clusterdistanceareabletomeasure
clustercompactnessandseparateness.
5.“Fuzzyc-RegressionModelsBasedonOptimalScalingofCategoricalObservation
with Tolerance”: In data mining applications, the authors often deal with databases
consisting of mixed measurementlevels. In order to handle uncertain categoricalob-
servations,thisarticle proposesto modifyFuzzyc-RegressionModels(FCRM) asan
FCM-typeswitchingregressionmodel.
6. “Combinationof Genetic Algorithmand Ant Colony Optimization for QoS Multi-
castRouting”:ThispaperpresentsanewmethodGAACOtosolvethisminimumcost
multicastroutingproblem.Inthismethod,geneticalgorithm(GA)andantcolonyopti-
mization(ACO)arecombinedtoimprovethecomputingperformance.Thesimulation
resultsshowthattheproposedGAACOalgorithmhassuperiorperformancewhencom-
paredtootherexistingalgorithms.
7.“BuildingaKnowledgeBase forExpertSystem inInformationSecurity”:Thispa-
perassertsthatexpertsystemsapproachcanbebeneficialinachievingthisautomation.
Althoughinformationsecurityisaverybroadfield,encompassingmanycomplexcon-
cepts,theauthorsaretryingtodevelopamethodologyofformalizingofISknowledge
tobuildaknowledgebaseforexpertsystemthatcanserveasISauditexpert.
8.“Fuzzylogicandneuralnetworkbasedinductioncontrolinadieselengine”:Inthis
paper, the combination of fuzzy and neural network approach will help to avoid the
highemissionsandunexpecteduncomfortabledrivingmodeforthedrivers.Thisnew
controlapproach,whichusesthehybridapproachoffuzzylogicandneuralnetwork,is
veryeasytotune,simplifythedevelopmenttime,improvethecontrolprecisionofthe
airsystemandreducecostandtimeofcalibration.
9.“EvaluationandAnalysisofRelationshipandIndividualRoleAdaptationforTeam
SportsusingSOM”:Thispaperreportstheconceptofthealgorithmandresultofphys-
icalorpsychologicaldataanalysisusingself-organizingmapsandprincipalcomponent
analysis,respectively.Thisresearchaimstodevelopaclusteringmethodthatconsiders
bothphysicalandpsychologicalfeaturesinjudginganindividual’sroleandadaptation
inthegame.
10. “Design of Radial Basis Function Classifier based on Polynomial Neural Net-
works”:Inordertoimprovethegeneralizationabilityofradialbasisfunctionnetworks,
this paper shows a way to apply the polynomial neural networks as the virtual input
variablesofradialbasisfunctionnetworks.
11. “Recursive Neuro-FuzzyAlgorithm for Flow Prediction and Pump On-Off Mini-
mization”:Thisarticleproposesanewintegratedsolutionforpredictionsandoptimal
pumpcontrolbylearningalgorithms.Flowpredictionhasusuallybeenstudiedfordaily
ormonthlyestimation,whichis insufficientforreal-timecontrolof a water treatment
Preface VII
plant(hereafterWTP).Theproposedon/offminimizationalgorithmisexpectedtopre-
ventthoseparticlesfromleakingandtosecuringpublichealth.
12.“LogotypeDesignSupportSystemBasedonSketches”:Thispaperproposesasup-
port system for interactive logotypes design based on user’s sketches, which applies
interactivegeneticalgorithm.Italso explainstwotypesofexperimentsfortheconfir-
mationofproposedsystemvalidity:whetherthesystemsupportslogotypedesign,and
whethersketchinputsareuseful.Experimentalresultsshowtheusefulnessofthepro-
posedsystem.
13.“AnArtificialNeuralNetworkBasedontheArchitectureoftheCerebellumforBe-
haviorLearning”:Thisarticlefocusesonthehumanbrainarchitecturethatgivesitthe
abilitytoself-organizeandgeneralizesensoryinformation.TheauthorsproposeanAr-
tificial NeuralNetwork(ANN) modelbased onthatarchitecture.The paperdescribes
a cerebellum-based ANN model (C-ANN) and verifies its capacity to learn from the
phototoxicbehavioracquisitionofasimpletwo-wheeledrobot.
Wewouldappreciateitifreaderscouldgetusefulinformationfromthearticlesand
contributetocreatinginnovativeandnovelconceptortheory.Thankyou.
Editors
YoungImCho
DonghanKim
EricT.Matson
Contents
Fuzzy(r,s)-MinimalPreopenSetsandFuzzy(r,s)-M Precontinuous
Mappingson(r,s)-FuzzyMinimalSpaces............................. 1
YoungKeyKim,WonKeunMin
On Fuzzy (r,s)-Minimal β-Open Sets on (r,s)-Fuzzy Minimal
Spaces........................................................... 9
YoungKeyKim,WonKeunMin
HandlingVeryLargeCooccurrenceMatricesinFuzzyCo-clusteringby
SamplingApproaches.............................................. 19
KatsuhiroHonda,AkiraNotsu,Chi-HyonOh
Xie-Beni-Type Fuzzy Cluster Validation in Fuzzy Co-clustering
ofDocumentsandKeywords ........................................ 29
MaiMuranishi,KatsuhiroHonda,AkiraNotsu
Fuzzyc-RegressionModelsBasedonOptimalScalingofCategorical
ObservationwithTolerance......................................... 39
ShunsukeIwata,KatsuhiroHonda,AkiraNotsu
CombinationofGeneticAlgorithmandAntColonyOptimizationfor
QoSMulticastRouting............................................. 49
BoPeng,LeiLi
BuildingaKnowledgeBaseforExpertSysteminInformationSecurity .... 57
L.Atymtayeva,K.Kozhakhmet,G.Bortsova
Fuzzy Logic and Neural Network Based Induction Control
inaDieselEngine ................................................. 77
B. Ganesh Kumar, S.R. Shankapal,A.S. Ravindran, Keith Burnham,
E.Ramakrishnan
X Contents
Evaluation and Analysis of Relationship between Roles
and Individual’s Role Adaptation in Team Sports Using SOM:
DataAnalysisandIntroductionofTheory............................. 93
YasunoriTakemura,MuneyukiYokoyama,ShoOmori,RyoShimosaka
DesignofRadialBasisFunctionClassifierBasedonPolynomialNeural
Networks ........................................................ 107
TaeChonAhn,SeokBeomRoh,ZiLongYin,YongSooKim
RecursiveNeuro-FuzzyAlgorithmforFlowPredictionandPumpOn-Off
Minimization ..................................................... 117
Ho-Hyun Lee, Sang-Bok Jang, Gang-Wook Shin, Sung-Taek Hong,
Myung-GeunChun
LogotypeDesignSupportSystemBasedonSketches .................... 125
JunjiSaikawa,TakehisaOnisawa
An Artificial Neural Network Based on the Architecture
oftheCerebellumforBehaviorLearning.............................. 143
Kenji Iwadate, Ikuo Suzuki, Michiko Watanabe, Masahito Yamamoto,
MasashiFurukawa
AuthorIndex ........................................................ 153