have a issue with scalar

i am having a issue with the plot mf function within creating my fuzzy ifnerence system when trying to plot the mf using the graph function i recieve the error expected input index to be scalar with value <=2 and or <=1 this can be seen below in my code generation

> fis = mamfis('Name', "Diabetes");

fis = addInput(fis,[0 30], 'Name',"Glucose");

fis = addmf(fis,"Glucose","trimf",[0 5 10],'Name',"low");

fis = addmf(fis,"Glucose","trimf",[10 15 20],'Name',"medium");

fis = addmf(fis,"Glucose","trimf",[20 25 30],'Name',"High");

fis = addInput(fis,[0 30],'Name',"BMI");

fis = addmf(fis,"BMI","trimf",[0 5 10],'Name',"low");

fis = addmf(fis,"BMI","trimf",[10 15 20],'Name',"medium");

fis = addmf(fis,"BMI","trimf",[20 25 30],'Name',"High");

fis = addOutput(fis,[0 1],'Name',"Diabetes");

fis = addmf(fis,"Diabetes","trimf",[0 0.2 0.4],'Name',"NoDiabetes");

fis = addmf(fis,"Diabetes","trimf",[0.5 0.6 0.7],'Name',"HasDiabetes");

RuleList = [1 2 1 1 1;

2 1 1 1 1;

3 3 2 1 1;

]

fis = addRule(fis,RuleList)

RuleList =

1 2 1 1 1

2 1 1 1 1

3 3 2 1 1

fis =

mamfis with properties:

Name: "Diabetes"

AndMethod: "min"

OrMethod: "max"

ImplicationMethod: "min"

AggregationMethod: "max"

DefuzzificationMethod: "centroid"

Inputs: [1×2 fisvar]

Outputs: [1×1 fisvar]

Rules: [1×3 fisrule]

DisableStructuralChecks: 0

See 'getTunableSettings' method for parameter optimization.

>> plotmf(fis,'input',1)

>> plotmf(fis,'input',2)

>> plotmf(fis,'input',3)

Error using plotmf (line 52)

Expected input index to be a scalar with value <= 2.

>> plotmf(fis,'output',2)

Error using plotmf (line 52)

Expected output index to be a scalar with value <= 1.

And when i use the code that the error generates i am not sure what to correct as i am very new to using MATLAB and gogoling the errors didnt seem to work

function varargout = plotmf(fis,varType,varIndex,numPts)

%PLOTMF Display all of the membership functions for a given variable.

% PLOTMF(fismat,varType,varIndex) plots all of the membership functions

% in the FIS called fismat associated with a given variable whose type

% (input or output) and index are respectively given by varType and

% varIndex. This function can also be used with the MATLAB function

% subplot.

%

% [xOut,yOut] = PLOTMF(fismat,varType,varIndex) returns the x and y data

% points associated with the membership functions without plotting them.

%

% [xOut,yOutUpper,yOutLower] = PLOTMF(fismat,varType,varIndex) returns

% the x and y data points associated with the upper and lower membership

% functions of a type-2 FIS called fismat without plotting them.

%

% PLOTMF(fismat,varType,varIndex,numPts) generates the same plot with

% exactly numPts points plotted along the curve.

%

% The varType input argument is specified by a character row vector or

% string scalar.

%

% For example:

%

% fis = mamfis;

% fis = addInput(fis,[0 10],'Name','service');

% fis = addMF(fis,'service','gaussmf',[1.5 0],'Name','poor');

% fis = addMF(fis,'service','gaussmf',[1.5 5],'Name','good');

% fis = addMF(fis,'service','gaussmf',[1.5 10],'Name','excellent');

% plotmf(fis,'input',1)

%

% See also EVALMF, PLOTFIS.

% Copyright 1994-2019 The MathWorks, Inc.

%====================================

narginchk(3,4)

fuzzy.internal.utility.validateFIS(fis)

if ~isa(fis,'FuzzyInferenceSystem')

warning(message('fuzzy:general:warnDeprecation_FISStructure'))

fis = convertfis(fis);

end

fuzzy.internal.utility.validCharOrString('Variable type',varType);

if varType~="input" && varType~="output"

error(message('fuzzy:general:errVariable_InvalidType'));

end

if varType=="output" && fis.type=="sugeno"

error(message('fuzzy:general:errPlotmf_SugenoOutputMF'));

end

validateattributes(...

varIndex, ...

{'numeric'}, ...

{'nonempty','scalar','real','positive','integer', ...

'<=',length(fis.(varType))}, ...

'', ...

[char(varType) ' index'] ...

)

if nargin<4

numPts = 181;

else

validateattributes(...

numPts, ...

{'numeric'}, ...

{'nonempty','scalar','real','finite','integer','>',1}, ...

'', ...

['number of points taken in ' char(varType) ' range'] ...

)

end

var = fis.(varType)(varIndex);

numMFs = length(var.mf);

if numMFs == 0

error(message("fuzzy:general:errFIS_MissingMFs",varType))

end

x = linspace(var.range(1),var.range(2),numPts)';

if nargout<1

plot(var.mf,x,'XLabel',var.Name)

else

varargout{1} = x(:,ones(numMFs,1));

if nargout > 1

[varargout{2:nargout}] = getMembershipValue(var.mf,x);

if numMFs > 1

for i = 2:nargout

varargout{i} = varargout{i}';

end

end

end

end

if anyone can help it would be much appreciated.

Answer 1

[Sarvani Panguluri]

Hi,

I assume you are trying to use the plotmf function in your fuzzy inference system.From the mamfis properties of your code,it is observed that there are 2 inputs(Glucose and BMI i suppose) and 1 output(Diabetes).

plotmf(fis,variableType,variableIndex)

In the plotmf function ,depending on the variableType(which is input or output), it is expected that variableIndex should be less than or equal to the number of input /output variables in fis.

plotmf(fis,'input',3)
plotmf(fis,'output',2)

In your code , since there are only 2 inputs and 1 output ,using the above lines throws an error.Please refer to the following documentation for more insight.

https://www.mathworks.com/help/fuzzy/plotmf.html#d120e35882

Hope this helps!