Title :
Identification of nonlinear vectorial functions by means of rough set and fuzzy logic theories
Author :
Alonge, F. ; Ippolito, F.D. ; Pizzuto, G. ; Raimondi, F.M.
Author_Institution :
Ist. di Autom. e Sistemistica, Palermo Univ., Italy
Abstract :
The problem of identification of a nonlinear vectorial function is studied using an approach based on the rough set and fuzzy logic theories. The rough set theory allows one to obtain a linguistic description of the function, whereas the fuzzy logic theory allows one to generate numerical values of the function starting from its linguistic description. Simulation experiments are shown regarding the identification of a two-variables sinc function
Keywords :
fuzzy logic; fuzzy set theory; fuzzy systems; identification; knowledge based systems; rough set theory; fuzzy logic; fuzzy set theory; fuzzy systems; identification; knowledge based systems; linguistic description; nonlinear vectorial function; rough set; sinc function; Application software; Data analysis; Data processing; Decision support systems; Fuzzy logic; Fuzzy sets; Fuzzy systems; Information systems; Interpolation; Set theory;
Conference_Titel :
Control Applications, 1998. Proceedings of the 1998 IEEE International Conference on
Conference_Location :
Trieste
Print_ISBN :
0-7803-4104-X
DOI :
10.1109/CCA.1998.721597
