what is the issue with my Fuzzy inference system (FIS) code?

Question

Ahmad 2023-10-17

0
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此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/2034979-what-is-the-issue-with-my-fuzzy-inference-system-fis-code

回答： Sam Chak 2023-10-18

采纳的回答： Sam Chak

在 MATLAB Online 中打开

am running the following code in matlab R2023b but it keeps returning the following error message:

Error using genfis

Invalid option sets.

Error in CreateInitialFIS (line 31)

fis = genfis(x, t, options);

Error in main (line 24)

fis=CreateInitialFIS(data,10);

The CreateInitialFIS.m code is:

function fis = CreateInitialFIS(data,nCluster)
    if ~exist('nCluster', 'var')
        nCluster = 'auto';
    end
    x = data.TrainInputs;
    t = data.TrainTargets;
 
    options = fcmOptions(...
        NumClusters=nCluster,...
        MaxNumIteration=100,...
        MinImprovement=1e-5,...
        Display=false);
           
   
    % Create the FIS
    fis = genfis(x, t, options);
end

The main.m code is:

%% Load Data
data=LoadData();
%% Generate Basic FIS
fis=CreateInitialFIS(data,10);
%% Train Using PSO
      
fis=TrainAnfisUsingPSO(fis,data);        
%% Results
% Train Data
TrainOutputs=evalfis(data.TrainInputs,fis);
PlotResults(data.TrainTargets,TrainOutputs,'Train Data');
% Test Data
TestOutputs=evalfis(data.TestInputs,fis);
PlotResults(data.TestTargets,TestOutputs,'Test Data');

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Answer 1

Sam Chak 2023-10-18

1
链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/2034979-what-is-the-issue-with-my-fuzzy-inference-system-fis-code#answer_1335319

在 MATLAB Online 中打开

Hi @Ahmad

The error is due to the incorrect usage of the option set. The option set for the genfis() function should be genfisOptions(), while fcmOptions() is the option set for the fcm() function.

%% Load Data
data = rand(100, 5);
%% Generate Basic FIS
fis = CreateInitialFIS(data, 10)
fis = 
  sugfis with properties:

                       Name: "sugeno41"
                  AndMethod: "prod"
                   OrMethod: "probor"
          ImplicationMethod: "prod"
          AggregationMethod: "sum"
      DefuzzificationMethod: "wtaver"
    DisableStructuralChecks: 0
                     Inputs: [1×4 fisvar]
                    Outputs: [1×1 fisvar]
                      Rules: [1×10 fisrule]

	See 'getTunableSettings' method for parameter optimization.
function fis = CreateInitialFIS(data,nCluster)
    if ~exist('nCluster', 'var')
        nCluster = 'auto';
    end
    
    x = data(:,1:4);
    t = data(:,5);
    
    % options = fcmOptions(...
    %     NumClusters=nCluster,...
    %     MaxNumIteration=100,...
    %     MinImprovement=1e-5,...
    %     Verbose=false);
    
    options = genfisOptions('FCMClustering', ...
        NumClusters=nCluster, ...
        MaxNumIteration=100,  ...
        MinImprovement=1e-5,  ...
        Verbose=false);
    
    % Create the FIS
    fis = genfis(x, t, options);
end