getfis (Fuzzy Logic Toolbox)

Get fuzzy system properties.

Syntax

getfis(a)
getfis(a,'fisprop')
getfis(a, 'vartype', varindex)
getfis(a,'vartype',varindex,'varprop')
getfis(a,'vartype',varindex,'mf',mfindex)
getfis(a,'vartype',varindex,'mf',mfindex,'mfprop')

Description

This is the fundamental access function for the FIS structure. With this one function you can learn about every part of the fuzzy inference system.

The arguments for getfis are as follows:

a: the name of a workspace variable FIS structure.
'fisprop': a string indicating the field you want to access, for example, 'Name' or 'NumInputs'.
'vartype': a string indicating the type of variable you want (input or output).
'varprop': a string indicating the variable property you want, such as name, range, nummfs, and mflabels. See the examples for sample string names.
varindex: an integer indicating the index of the variable you want (1, for input 1, for example).
'mf': a required string that indicates you are searching for membership function information.
mfindex: the index of the membership function for which you are seeking information.
'mfprop': a string indicating values for membership function properties, such as name, type, and params.

You can also access fuzzy system properties directly using MATLAB's syntax for structures (including dot notation). See the examples that follow.

Examples

One input argument (output is the empty set)

a = readfis('tipper');
getfis(a)
        Name = tipper
        Type = mamdani
        NumInputs = 2
        InLabels =
                service
                food
        NumOutputs = 1
        OutLabels =
                tip
        NumRules = 3
        AndMethod = min
        OrMethod = max
        ImpMethod = min
        AggMethod = max
        DefuzzMethod = centroid

Two input arguments

```
getfis(a,'type')
ans =
mamdani
```

or,

```
a.type
ans =
mamdani
```

Three input arguments (output is the empty set)

getfis(a,'input',1)
        Name = service
        NumMFs = 3
        MFLabels =
                poor
                good
                excellent
        Range = [0 10]

or,

a.input(1)
ans = 
     name: 'service'
    range: [0 10]
       mf: [1x3 struct]

Four input arguments

getfis(a,'input',1,'name')
ans =
service

or,

```
a.input(1).name
ans =
service
```

Five input arguments

getfis(a,'input',1,'mf',2)
        Name = good
        Type = gaussmf
        Params =
    1.5000    5.0000

or,

a.input(1).mf(2)
ans = 
      name: 'good'
      type: 'gaussmf'
    params: [1.5000 5]

Six input arguments

getfis(a,'input',1,'mf',2,'name')
ans =
good

or,

```
a.input(1).mf(2).name
ans =
good
```

See Also

setfis, showfis

gensurf mam2sug