Modelling, Control and Prediction using Hierarchical Fuzzy Logic Systems: Design and Development
نویسنده
چکیده
Hierarchicalfuzzylogicsystemsareincreasinglyappliedtosolvecomplexproblems.Thereisaneed forastructuredandmethodologicalapproachforthedesignanddevelopmentofhierarchicalfuzzy logicsystems.Inthispaperareviewofamethoddevelopedbytheauthorfordesignanddevelopment ofhierarchicalfuzzylogicsystemsisconsidered.Theproposedmethodisbasedontheintegration ofgeneticalgorithmsandfuzzylogictoprovideanintegratedknowledgebaseformodelling,control andprediction. Issues related to thedesignandconstructionofhierarchical fuzzy logic systems usingseveralapplicationsareconsideredandmethodsforthedecompositionofcomplexsystems intohierarchicalfuzzylogicsystemsareproposed.Decompositionandconversionofsystemsinto hierarchicalfuzzylogicsystemsreducesthenumberoffuzzyrulesandimprovesthelearningspeed forsuchsystems.Applicationareasconsideredare:thepredictionofinterestrateandhierarchical roboticcontrol.Theaimofthismanuscriptistoreviewandhighlighttheresearchworkcompletedin theareaofhierarchicalfuzzylogicsystembytheauthor.Thepapercanbenefitresearchersinterested intheapplicationofhierarchicalfuzzylogicsystemsinmodelling,controlandprediction. KeywoRDS Control, Genetic Algorithms and Learning, Hierarchical Fuzzy Logic Systems, Modelling, Prediction INTRoDUCTIoN Theproblemofcontrollinguncertaindynamicsystemswhicharesubjecttoexternaldisturbances, uncertaintyandsheercomplexity isofconsiderable interest.Conventionalmodellingapproaches employmathematicalmodelsandexaminethesystem’sevolutionanditscontrol.Suchapproaches arenotcompletelysuccessfulwhenappliedtolargenon-linearcomplexsystems.Thesemodelswork wellprovidedthesystemmeettherequirementandassumptionofsynthesistechniques.Howeverdue touncertaintyandsheercomplexityoftheactualdynamicsystem,itisverydifficulttoensurethat themathematicalmodeldoesnotbreakdown(Mohammadian&Stonier,1995). Progressinsolvingtheseproblemshasbeenwiththeaidofnewadvancedhigh-speedcomputers and theapplicationofartificial intelligenceparadigms,particularlyneuralnetworks, fuzzy logic systemsandevolutionaryalgorithms.Fuzzylogicsystemshavebeensuccessfullyappliedintheplace ofthecomplexmathematicalsystemsandtheyhavenumerouspracticalapplicationsinmodelling,
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عنوان ژورنال:
- IJFSA
دوره 6 شماره
صفحات -
تاریخ انتشار 2017