GenerateVE4fis

 Generate vague environment for a FIS 

 function fis=GenerateVE4fis(fis,params)

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 Parameters
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 fis - Complex structure describing the fuzzy inference system
       fis--name
          |-type
          |-andMethod
          |-orMethod
          |-defuzzMethod
          |-impMethod
          |-aggMethod
          |-RPtype
          |-input(i)--name
          |          |-range
          |          |-(RangeLength)  it is present only if the partition
          |          |                is normalized
          |          |-(Offset)       it is present only if the partition
          |          |                is normalized
          |          |-mf(j)--name
          |                 |-type
          |                 |-params
          |                 |-paramsy
          |                 |-RPx
          |                 |-RPy
          |                 
          |-output(k)--name
          |          |-range
          |          |-(RangeLength)  it is present only if the partition
          |          |                is normalized
          |          |-(Offset)       it is present only if the partition
          |          |                is normalized
          |          |-mf(l)--name
          |                 |-type
          |                 |-params
          |                 |-paramsy
          |                 |-RPx
          |                 |-RPy
          |-rule(m)--antecedent
          |        |-consequent
          |        |-weight
          |        |-connection

 params - structure containing information about the parameters of the 
    |     method.
    |-InterpolationType    VEIN or FIVE
    |-RPtype               only corecentre is allowed
    |-NumOfPoints  size (resolution) of the antecedent, consequent universes 
    |-ShepardPower power factor in the Shepard interpolation formula
    |-NLS          optional, if not given: linear scaling function approximation
                   if given: NLS is the constant factor of sensitivity for
                   neighbouring scaling factor differences in nonlinear
                   scaling function approximation
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 Returned values
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 fis - Complex structure describing the fuzzy inference system
       fis--name
          |-type
          |-andMethod
          |-orMethod
          |-defuzzMethod
          |-impMethod
          |-aggMethod
          |-RPtype
          |-input(i)--name
          |          |-range
          |          |-(RangeLength)  it is present only if the partition
          |          |                is normalized
          |          |-(Offset)       it is present only if the partition
          |          |                is normalized
          |          |-PASC           scaling points N by 3 matrix
          |          |-ASCF           vector containing the points that 
          |          |                describe the scaling function
          |          |-mf(j)--name
          |                 |-type
          |                 |-params
          |                 |-paramsy
          |                 |-RPx
          |                 |-RPy
          |                 
          |-output(k)--name
          |          |-range
          |          |-(RangeLength)  it is present only if the partition
          |          |                is normalized
          |          |-(Offset)       it is present only if the partition
          |          |                is normalized
          |          |-PASC           scaling points N by 3 matrix
          |          |-ASCF           vector containing the points that 
          |          |                describe the scaling function
          |          |-mf(l)--name
          |                 |-type
          |                 |-params
          |                 |-paramsy
          |                 |-RPx
          |                 |-RPy
          |-rule(m)--antecedent
          |        |-consequent
          |        |-weight
          |        |-connection
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 Remarks
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 Zsolt Csaba Johanyák, johanyak.csaba@gamf.kefo.hu, v. 1.0,  4 May 2007.