Fuzzy rule base, additive interpretation, fuzzy transform

Since 1965 the fuzzy set theory and its application have deep develop- ment especially in many disciplines close to the automatic control of processes. A fuzzy model has been shown to be able to approximate the behaviour of many complex processes. Very robust fuzzy controller can be constructed in various ways. One of them, learning algorithm, is focused in this paper while the approximation idea has been brought from the technique called F-transform.

Since 1965 the fuzzy set theory and its application have deep develop- ment especially in many disciplines close to the automatic control of processes. A fuzzy model has been shown to be able to approximate the behaviour of many complex processes. Very robust fuzzy controller can be constructed in various ways. One of them, learning algorithm, is focused in this paper while the approximation idea has been brought from the technique called F-transform.