How to solve the error "Gaussian membership function must have positive sigma value"

Question

Avijit Paul 2023-5-29

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https://ww2.mathworks.cn/matlabcentral/answers/1974894-how-to-solve-the-error-gaussian-membership-function-must-have-positive-sigma-value

回答： Sam Chak 2023-8-5

I am getting this error, The code and the data set is attched. Note: The data set is huge therefore googledrive link is attached. Couldn't able to resolve the error. Also, is there any way to use different membership function while using Fuzzy Clustering Method (FCM). May be this can solve the issue.

Data Set

    Level=5;
    [gcm_part1_coeff, gcm_part1_level]= wavedec(gcm_part1,Level,'db2');
    [obs_part1_coeff, obs_part1_level]= wavedec(obs_part1,Level,'db2');
    
    gcm_Approx1= appcoef(gcm_part1_coeff, gcm_part1_level,'db2');
    obs_Approx1= appcoef(obs_part1_coeff, obs_part1_level,'db2');
    option = genfisOptions("FCMClustering","NumClusters",2,"MaxNumIteration",200,"Verbose",0);
    fis = genfis(gcm_Approx1,obs_Approx1,option);         
    opt = anfisOptions('InitialFIS',fis,'EpochNumber',60,'InitialStepSize',0.1, ...
        'DisplayANFISInformation',0,'DisplayErrorValues',0,'DisplayStepSize',0, ...
        'DisplayFinalResults',0);
    fis2 = anfis([gcm_Approx1 obs_Approx1],opt);

Error using fismf/set.Parameters

Gaussian membership function must have positive sigma value.

Error in genfis3 (line 152)

mf(j).Parameters = computemfparams (mftype, Xin(:,i), U(j,:)', center(j,i));

Error in genfis (line 81)

fis = genfis3(Xin,Xout,option.FISType,option.NumClusters, ...

Error in Fuzzy_ANFIS (line 10)

fis = genfis(gcm_Approx1,obs_Approx1,option);

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林朝潘 2023-8-2

I'm getting a similar error with my program, is there any feasible solution?

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Answer 1

Sam Chak 2023-8-5

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此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/1974894-how-to-solve-the-error-gaussian-membership-function-must-have-positive-sigma-value#answer_1283752

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Hi @Avijit Paul and @林朝潘

The error indicates that either you or your algorithm made a mistake by assigning a negative value to the sigma (standard deviation) in the Gaussian function. It is impossible to have a negative standard deviation because the sigma represents a measure of the spread or dispersion of the data, and it should always be a non-negative value as shown in this formula: