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LESFRI

PURPOSE ^

Fuzzy Rule Interpolation based on the method of least squares

SYNOPSIS ^

function out=LESFRI(OriginalObs,OriginalFis,params)

DESCRIPTION ^

 Fuzzy Rule Interpolation based on the method of least squares

 function out=LESFRI(OriginalObs,OriginalFis,params)

 Calculate the conclusion by the help of Fuzzy Rule Interpolation 
 based on the method of least squares
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 Parameters
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 OriginalFis - structure describing the fuzzy inference system.
               The partitions are normalized.
 OriginalObs - structure describing the observation corresponding to the
               normalized partitions.
 params - structure containing information about the parameters of the 
          method. It should have the
          following fields:
          InterpolationType    LESFRI
          RPtype               only corecentre is allowed
          SetInterpolationWeight--Type
                                |-p      (in case of Weight type 1 
                                |         w=1/d^p)
                                |-lambda (in case of Weight type 2 
                                          w=e^-(lambda*d) )
          ConsequentPositionWeight--Type
                                  |-p      (in case of Weight type 1 
                                  |         w=1/d^p)
                                  |-lambda (in case of Weight type 2
                                             w=e^-(lambda*d) )
          AntecedentDimensionWeight--Type
                                   |           (in case of weight type 1 
                                   |            all dimensions have 
                                   |            the same weight equal to 1) 
                                   |-we        (in case of weight type 2
                                                in this case we is an array) 
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 Returned values
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 out - complex structure
 out--fis
    |-obs
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 Remarks
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 Zsolt Csaba Johanyák, johanyak.csaba@gamf.kefo.hu, v. 1.1,  30. October 2006.

CROSS-REFERENCE INFORMATION ^

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