KH:Linear interpolation of fuzzy rules by the method of Kóczy & Hirota output=KH(obs,fis,params) Calculate the conclusion using Linear interpolation of fuzzy rules by the method of Kóczy & Hirota ------------------------------------------------------------------------- Parameters ------------------------------------------------------------------------- obs - structure describing the observation. fis - structure describing the fuzzy inference system. params--InterpolationType 'KH' |-AlphaLevels--Type 'breakpoints' - the alpha levels are defined | | by the break-points of the | | sets | | 'userdefined' - the user specifies a number | | of alpha levels that will be | | distributed uniform in the | | interval [0,1] | |-NumOfaCuts the number of alpha cuts it is given | only in the case of Type='userdefined' |-NumOfPoints the number of points - it is used during | the visualization |-w the exponent in the Minkowski-type distance formula

- DisplayError Display an error message in the Command Window and pop-up an error message box.
- GetAlfaLevelsFromParams GetAlfaLevelsFromParams: collection of alpha levels
- GetAllAcuts GetAllAcuts:Determine all alfa cut values
- NearestTwoRules NearestTwoRules:Seek those two rules, which are the closest ones to the observation
- SetDistanceSigned Calculates the lower and upper signed distance values for two fuzzy sets

- ievalfis Invokes the original or the interpolation based inference method

Generated on Fri 05-Sep-2008 09:37:47 by