What Is Fuzzy Logic?

genfis1
Purpose
Syntax
Description
Generate Fuzzy Inference System structure from data using grid
partition
fismat = genfis1(data)
fismat = genfis1(data,numMFs,inmftype,outmftype)
genfis1 generates a Sugeno-type FIS structure used as initial
conditions (initialization of the membership function parameters) for
anfis training.
genfis1(data) generates a single-output Sugeno-type fuzzy inference
system using a grid partition on the data.
genfis1(data,numMFs,inmftype,outmftype) generates a FIS
structure from a training data set, data, with the number and type
of input membership functions and the type of output membership
functions explicitly specified.
The arguments for genfis1 are as follows:
• data is the training data matrix, which must be entered with all
but the last columns representing input data, and the last column
representing the single output.
• numMFs is a vector whose coordinates specify the number of
membership functions associated with each input. If you want the
same number of membership functions to be associated with each
input, then specify numMFs as a single number.
• inmftype is a string array in which each row specifies the
membership function type associated with each input. This can be
a one-dimensional single string if the type of membership functions
associated with each input is the same.
• outmftype is a string that specifies the membership function type
associated with the output. There canonlybeoneoutput,because
this is a Sugeno-type system. The output membership function type
must be either linear or constant. The number of membership
functions associated with the output is the same as the number of
rules generated by genfis1.
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