Master index
| Master index |
Index for SFMI |
 About | ABOUT M-file for About.fig |
| AdjustSide | iter - the number of the current iteration |
| AlphaCut | Determine the lower and upper endpoints of an alpha cut of a fuzzy cluster. |
| ApproxInputTrapezoids | Approximate the membership functions by trapezoids forming a Ruspini-like partition |
| ApproxOutputTrapezoids | Approximate the membership functions by trapezoids forming a Ruspini-like partition |
| ApproxTrapezoid | |
| CNFUnion | Merge the sets of the antecedent parts of two rules. |
| Calc1Dir | |
| Cluster1D | Perform 1D FCM Clustering |
| ClusteringPreferences | CLUSTERINGPREFERENCES M-file for ClusteringPreferences.fig |
| CorrectMfSupports4RBE_DSS | The support of a set cannot overlap the core of another set. |
| CorrectOverlappingMfs | The cores of two sets cannot overlap each other. |
| CorrectRulebase | Replace the references to the antecedent set 'Original' with the references to the antecedent set 'New'. |
| CorrectSetCore | Number of input dimensions |
| CorrectSetShapes | Correct set shapes after the introduction of the last set in order to fulfil the conditions of tuning method RBE-DSS. |
| CreateExample | % Create example data for fis trainig |
| CreateSystemWith2Rules | Create a raw fuzzy system containing only two rules. |
| CsereBere | Perm-be egy n-ed rendű permutációt, Sign-be véletlen előjelet ad: |
| DefaultClusteringOptions | options - column vector containing parameters of the FCM clustering |
| DefaultTuningOptions | Create a vector containing the default values for tuning preferences |
| DefaultTwoRulesOptions | Create a column vector containing the default values for the options |
| DefineNewRule4RBE_DSS | Define a new rule in that point where the system gives the worst |
| DefineNewRule4RBE_SI | Define a new rule in that point where the system gives the worst |
| DefineSets | Define the reference points of the sets and label the sets. |
| DetermineAntecedent | Determine a submatrix of the matrix describing the antecedent parts of the rules. |
| DisplayResults | |
| DoTuning | |
| DrawReferencePoint | |
| ElimineDuplicateRules | Eliminate rules that are already present in the rulebase. |
| Exp01 | Define the data for the first experiment |
| ExtendRange4VE | Extend the range of each linguistic variable in order to can |
| ExtendSetsOfFis | |
| ExtendSetsOfPartition | |
| FcmClustering1D | 1D fuzzy c-means clustering |
| Felfedezo | --------------------------------------------------------------------- |
| Fis2Side | Copy |
| Fis2Vector | Transform the structure-based description of the parameters into a row vector based one. |
| GetClusterMembershipValues | v - column vector containig the cluster centers |
| GetMinRange | Determine the minum of the range of the input and output dimensions |
| GetRawFISName | GETRAWFISNAME M-file for GetRawFISName.fig |
| GetRule | Determine the rules for the current output fuzzy set |
| GetTuningPreferences | Determine the tuning options using a dialog box. |
| InferenceSpecificCorrection | |
| InitializeMembershipMatrix1D | Initialize the membership matrix for 1D fuzzy c-means clustering |
| InputClustering1D | Perform Fuzzy C-Mean Clustering in each indata dimension separately |
| IsInside | Determines whether the reference point of the set SetNo is inside the |
| JoFv | ez egy eléggé hasraütészserűen definiált jóságfüggvény: |
| MSECalc | Load the file containing the output train data. |
| MergeClusters | Merge 1D fuzzy clusters) |
| MergeIdenticalClusters | Merge antecedent clusters whose centers are identical |
| MergeInputPartitions | Genereate a common input partition in each input dimension by merging the |
| MergePartRulebases | Genereate a common rule base by merging the |
| MergeRules | Merge the similar rules - optimize the rulebase |
| MergeRulesWithIdenticalAntecedents | |
| MergeSimilarSets | Merge fuzzy sets whose params does not differ more than |
| MergeSimilarSetsInaPartition | Merge sets whose params does not differ more than |
| MergingIndex | Calculate the merging index for a given vm data point |
| ObjectiveFunction | |
| OutputClustering1D | Perform Fuzzy C-Mean Clustering in each output dimension separately (1D clusterings) |
| OutputDimensionSelect | OUTPUTDIMENSIONSELECT M-file for OutputDimensionSelect.fig |
| ParamNo | Determine the number of parameters. |
| PartlyOverlappingAntecedents | If the antecedents are at least partly overlapping |
| PlotPI | |
| PlotPartition | Display the clusters in the current dimension |
| RBE_DSS | Fuzzy system tuning with RBE-DSS |
| RBE_SI | Fuzzy system tuning by a varianat of the gradiant descent method and |
| ReadTestInput | Loads the data file containing the test data |
| ReadTestOutput | Loads the data file containing the test data |
| RefPoints2Range | Reference points should be inside the range of the linguistic variable. |
| RemoveEmptyMfs | Remove the empty membership functions, i.e. that elements, which |
| RoundFisData | |
| RuleDist | Calculate the ditance between two rules in each input dimension. The unit |
| RuleExtract | Load the file containing the output data (train+check). |
| RuleMaker | RULEMAKER M-file for RuleMaker.fig |
| RuspiniCorrection | Corercts the shape of the sets if the Ruspini condition is not met |
| SFMI | SFMI M-file for SFMI.fig |
| SaveData | |
| Seekx | Approximate the abscissa of the point where a horizontal line situated at CutLevel intersects the cluster membership function |
| ShowClusteringPreferences | Show the options of the clustering in the editbox in the main window |
| ShowResultsCheckStopPause | Show part or whole of the results depending on the options set and check the Stop Pause state. |
| ShowTuningPreferences | Show the options of the system tuning in the editbox in the main window |
| ShowTwoRulesPreferences | Show the options (preferences) applied by the fuzzy system generation based on extreme |
| Side2Fis | Copy back the new values into the fis structure |
| Sigmoid | x=1:1:100; |
| Simplex | Fuzzy system tuning with the Simplex method |
| SortMfs | Sort the membership functions in each dimension in ascending order. |
| SwapMfs | Swap two fuzzy sets and correct the rule base. |
| SystemSelect | SYSTEMSELECT M-file for SystemSelect.fig |
| SystemTuning1 | Fuzzy system tuning with ACP + breakpoints as parameters |
| SystemTuning2 | Fuzzy system tuning with ACP + relative distances as parameters |
| SystemTuning3 | Fuzzy system tuning with ACP + Conserving Ruspini partition |
| SzProba | |
| Szimplex | |
| Tune1Param | |
| TuneInferenceParameters | Tune inference parameters using a gradient descent approach |
| TuningPreferencesACP | TUNINGPREFERENCESACP M-file for TuningPreferencesACP.fig |
| TuningPreferencesRBE_DSS | TUNINGPREFERENCESRBE_DSS M-file for TuningPreferencesRBE_DSS.fig |
| TuningPreferencesRBE_SI | TUNINGPREFERENCESRBE_SI M-file for TuningPreferencesRBE_SI.fig |
| TuningPreferencesSimplex | TUNINGPREFERENCESSIMPLEX M-file for TuningPreferencesSimplex.fig |
| TuningSpecificCorrections | Make tuning specific corrections of the parameters. |
| TwoRulesPreferences | TWORULESPREFERENCES M-file for TwoRulesPreferences.fig |
| UnifyMfs | Unify sets with reference points closer than the identity |
| ValidateCorrectParameters4TuningRBE_DSS | Apply validity conditions and do corrections if they |
| Vector2Fis | Transform the row vector based description of the parameters into a structure based one. |
| VerifyCorrectMfParameters | |
| VerifyCorrectSetParameters | |
| VerifyCorrectSetParameters1 | Defines the weakest constraints: |
| VerifyCorrectSetParameters2 | Defines the medium constraints: |
| VerifyParameters | Verify the parameters of a fis structure. |
| Visualize | |
| WriteObs | Obs--name |
| params2tp | Converts the FIS parameters to the tuned parameters vector |
| pvect2variable | Transform the parameters of a linguistic variable containing trapezoid |
| tp2params | Converts the the tuned parameters vector to FIS parameters |
| variable2pvect | Transform the parameters of a linguistic variable containing trapezoid |