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。
a collection of M-files to study concepts in the following areas of Fuzzy-Set-Theory: Fuzzy or Multivalued Logic, The Calculus of Fuzzy, Quantities, Approximate Reasoning, Possibility Theory, Fuzzy Control, neuro-Fuzzy Systems.
《Fuzzy Relational Calculus Toolbox, Rel.1.01》The toolbox provides functions and original algorithms for solving direct and inverse problems.
Author: Yordan Kyosev & Ketty Peeva
