The Fuzzy Clustering and Data Analysis Toolbox is a collection of Matlab
functions. Its propose is to divide a given data set into subsets (called
clusters), hard and Fuzzy partitioning mean, that these transitions between
the subsets are crisp or gradual.
The neuro-Fuzzy software for identification and data analysis has been implemented in the MATLAB language ver. 4.2.
The software trains a Fuzzy architecture, inspired to Takagi-Sugeno approach, on the basis of a training set of N (single) output-(multi) input samples.
The returned model has the form
1) if input1 is A11 and input 2 is A12 then output =f1(input1,input2)
2) if input1 is A21 and input 2 is A22 then output =f2(input1,input2)
看不懂，據高手說，非常有用。
