< Master index Index for FRIT >

Index for FRIT

Functions:

 AboutABOUT M-file for About.fig
 AcutsFromParams
 AntecedentPlotMISOGraphical representation of the rule base of a SISO fuzzy system.
 AntecedentPlotMISOCubesGraphical representation of the antecdent space of a 3in1out MISO fuzzy system using cubes.
 CheckPartitionSetShapesIt checks whether the types of the shapes of sets are the same in the
 CloseDiagramWindowsCloseDiagramWindows: Close all open diagram windows.
 ConsRelFuzzCRF:Fuzzy rule interpolation by the conservation of the relative fuzziness
 CorrStatCorrStat Correlation coefficient
 Cut2ParamsIt transforms the data available in form of alpha cuts
 DeNormalizeSetRestore a set to its original shape in horizontal direction
 DefaultInferenceOptions
 DefuzzificationDefuzzify the fuzzy set Mf
 DisplayAntecedentDisplays the membership functions of the antecedent parts.
 DisplayConclusionGraphical representation of the conclusion
 DisplayConclusionFromaCutDisplayConclusionFromaCut:Graphical representation of the conclusion
 DisplayConsequentDisplays the membership functions of the consequent parts.
 DisplayErrorDisplay an error message in the Command Window and pop-up an error message box.
 DisplayFis
 DisplayInterpolatedPartFrompCutGraphical representation of the observation
 DisplayObservation
 DisplaySetGraphical representation of a set
 DisplaySetFromaCutDisplaySetFromaCut:Graphical representation of the conclusion
 DisplaySetFrompCutDisplays a fuzzy set using its polar cuts
 DisplayVariableGraphical representation of a linguistic variable (fuzzy partition).
 EvalFisVectorCalculate the the output of a fuzzy system for a sample data set.
 FEAT_LS
 FEAT_p
 FIVEFIVE: Fuzzy Inference by Interpolation in Vague Environment
 FIVEDrawAntFIVEDrawAnt: Draw the antecedents of FIVE
 FIVEDrawConcFIVEDrawConc: Draw the conclusions of FIVE
 FIVEDrawMergedPartFIVEDrawMergedPart: Draw a fuzzy partition in a merged vague environment, as it describes it
 FIVEDrawPartFIVEDrawPart: Draw a fuzzy partition in a vague environment, as it describes it
 FIVEGScFuncFIVEGScFunc: Generate the scaling function SCF
 FIVEGVagEnvFIVEGVagEnv: Generate the vague environment VE (the scaled distances of the U universe)
 FIVEMergeScFFIVEMergeScF: Merge two scaling functions to a single one
 FIVEMf2PScFIVEMf2PSc: Convert a membership function to a scaling function points
 FIVERuleDistFIVERuleDist: Calculate the distances of the observation from the rule antecedents
 FIVEVagConclFIVEVagConcl: Calculate the conclusion from the observation and the rulebase
 FIVEVagDistFIVEVagDist: Calculate the scaled distance of two points in the vague environment
 FIVEVagMembFIVEVagMemb: Membership function of a point in a vague environment
 FIVEValVagFIVEValVag: Value of a vague point VP
 FRIPOCFRIPOC:Fuzzy Rule Interpolation based on POlar Cuts
 FRITGraphical user interface for the Fuzzy Rule Interpolation (FRI) ToolBox
 GMGM: Interpolation of fuzzy rules by the Generalized Methodology
 GMFERIDetermines the position (reference point) of the conclusion using the
 GMIntAntRPStores the reference points of the antecedent sets in
 GMNearestTwoRulesSeeks those two rules, which are the closest ones to the observation
 GenerateRuleInterrelationGenerates the interrelation function between the antecedents and
 GenerateVE4VariableGenerate vague environment for a linguistic variable (partition).
 GenerateVE4fisGenerate vague environment for a FIS
 GetAlfaLevelsFromParamsGetAlfaLevelsFromParams: collection of alpha levels
 GetAllAcutsGetAllAcuts:Determine all alfa cut values
 GetAllReferencePointsDetermines the reference points of the sets belonging to the fis
 GetCoreDetermines the lower and upper endpoints of the core of a fuzzy set
 GetCoreDistDetermines the distance between the upper endpoint of the core of A1 and
 GetExtensionGetExtension: Determine the extension part of a filename
 GetFisReferencePointsDetermine the reference points of the sets belonging to the fis.
 GetFlanksFour vectors are created for the set mf containing the points of the
 GetFuzzinessDetermines the fuzziness of a fuzzy set
 GetInterrelatedPointsThe interrelated points corresponding to x
 GetObsReferencePointsDetermines the reference points of the sets belonging to the observation
 GetReferencePoint
 GetSupportDetermines the lower and upper endpoints of the support of a fuzzy set
 IMULIMUL:Fuzzy rule interpolation for multidimensional input spaces
 IMULRefpCoreDetermines the reference point and the endpoints of the core of the
 IMULRelFuzzDetermines the relative fuzzines (the endpoints of the support of the
 InMatrix2Obs
 IsAboveSetExamines the ordering of two fuzzy sets by comparing the endpoints of all
 KHKH:Linear interpolation of fuzzy rules by the method of Kóczy & Hirota
 KHstabilizedKHstabilized:Linear interpolation of fuzzy rules by the stabilized version of the method of Kóczy & Hirota
 KHstabilizedOptOptimized version of 'KHstabilized'.
 LESFRIFuzzy Rule Interpolation based on the method of least squares
 LPRP2ParamsIt transforms the data available in the fields LeftPointsx,
 LevelUnion
 LoadData
 MACIMACI:Modified Alpha Cut based Interpolation of fuzzy rules
 MembershipValuesCalculate the membership values for the elements of x
 MfTypeOKDetermines if the sets of the problem contain only the allowed membership
 ModifyFisParams4VEModify the parameters of the sets conform the requirements of VE.
 ModifyMfParams4FIVEModify the parameters of the sets conform the requirements of FIVE.
 ModifyMfParams4VEModify the parameters of the sets conform the requirements of VE.
 NearestTwoRulesNearestTwoRules:Seek those two rules, which are the closest ones to the observation
 NormalizeAllPartitions
 NormalizeObservation
 NormalizePartitionNormalize a partition to the interval [0,1]
 OutputDimensionSelectOUTPUTDIMENSIONSELECT M-file for OutputDimensionSelect.fig
 PcutsFromParamsCalculates the polar cuts (polar distances) of the current
 PerformanceIndexCalculate the the performance index of a fuzzy system.
 PlotCubePlots a cube defined by supports of three fuzzy sets.
 PlotDatax -row vector containing the abscissa values
 PlotPyramidPlots a pyramid defined by two trapezoidal shaped fuzzy sets.
 PreferencesCRFPREFERENCESCRF: Show and set the preferences of the fuzzy rule interpolation method CRF
 PreferencesFIVEPREFERENCESFIVE: Show and set the preferences of the fuzzy rule interpolation method KH
 PreferencesFRIPOCPREFERENCESFRIPOC: Show and set the preferences of the fuzzy rule interpolation method KH
 PreferencesGMPREFERENCESGM: Show and set the preferences of the fuzzy rule interpolation method GM
 PreferencesKHPREFERENCESKH: Show and set the preferences of the fuzzy rule interpolation method KH
 PreferencesLESFRIPREFERENCESLESFRI: Show and set the preferences of the fuzzy rule interpolation method KH
 PreferencesMACIPREFERENCESMACI: Show and set the preferences of the fuzzy rule interpolation method MACI
 ReadFis2Loads the data file describing the FIS
 ReadObs2
 ReadObs3Loads the data file describing the observation
 RemoveDuplicatesRemoves duplicate values from a sorted vector
 Reverse
 RulePlotMISOCubesGraphical representation of the rule base of a 2in1out MISO fuzzy system using cubes.
 RulePlotSISOGraphical representation of the rule base of a SISO fuzzy system.
 SCMFuzzy set interpolation by solid cutting method
 SRR_FPLSingle rule reasoning by Fixed Point Law
 SURE_LS
 SaveResultSaves the data describing the results of the interpolation
 SetAverageFrompCutCalculate the weighted average of the polar distances of the sets of the partition
 SetDistanceSignedCalculates the lower and upper signed distance values for two fuzzy sets
 SetFromVEDetermine a set knowing the vague environment and the position of its
 SetShiftDetermines the shifting distance necessary to reach the same
 ShowPreferencesCRFShowPreferencesCRF:Show the settings of the method CRF in the editbox in the main window
 ShowPreferencesFIVEShowPreferencesFIVE:Show the settings of the method FIVE in the editbox in the main window
 ShowPreferencesFRIPOCShows the settings of the method LESFRI in the editbox in the main window
 ShowPreferencesGMShowPreferencesGM:Show the settings of the method GM in the editbox in the main window
 ShowPreferencesKHShowPreferencesKH:Show the settings of the method KH in the editbox in the main window
 ShowPreferencesLESFRIShow the settings of the method LESFRI in the editbox in the main window
 ShowPreferencesMACIShowPreferencesMACI:Show the settings of the method MACI in the editbox in the main window
 SystemEvalCalculates the performance index and the output of a fuzzy system for a
 TestWe read the FIS data from disk
 TestAboutTESTABOUT M-file for TestAbout.fig
 TestItTESTIT M-file for TestIt.fig
 TestObservationValidity
 TestSystemCalculate the the performance index and the output of a fuzzy system.
 Transf2TrapmfTransforms the parameters of a singleton or triangular set to trapezoidal
 TransformRuleInterrelationTransforms the interrelation functions (areas) proportionally in order
 TransformSetTransforms the antecedent sets conform to the new interrelation areas.
 VEINVague Environment based two-step fuzzy rule INterpolation (VEION)
 VKKVKK:Linear interpolation of fuzzy rules by the method of Vass, Kalmįr & Kóczy
 VKKCpWDetermines the centre point and width of each alfa cut of the
 VKKDistWe calculate the resulting distance between the first(A) and the
 VKKWidthCalculates the resulting alfa cut width values for each antecedent and
 ValidatingPrefFRIPOCDo a validation on the PreferencesFRIPOC dialog box
 WriteObsObs--name
 convexHullCreates a convex hull over the abnormal conclusions to 'normalize' them.
 convexScript
 defOptOptimized defuzzification for piecewise linear fuzzy sets.
 displayScript
 distancesCalculates the lower and upper distances between the rules and the observation.
 example_script% Script for experimentations of the FRI methods with two fuzzy systems and two observations
 ievalfisInvokes the original or the interpolation based inference method
 ireadfisIREADFIS Load FIS from disk.
 itrapmfCalculate the membership values for the elements of x in case of a
 iwritefisWRITEFIS Save a FIS to disk.
 pcuts2params
 polymfCalculates the membership values of a polygonal shaped fuzzy set
 singlmfCalculates the membership values of a polygonal shaped fuzzy set
 speedFunStarting the clock
 speedScriptComparision of the speed of the old and the new, improved inferences

Dependency Graph


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