Title :
Granularity and specificity in fuzzy function approximation
Author :
Sudkamp, Thomas ; Hammell, Robert J., II
Author_Institution :
Dept. of Comput. Sci., Wright State Univ., Dayton, OH, USA
Abstract :
This paper describes some preliminary investigations into the relationships between granularity and specificity in fuzzy rule bases. It proposes a strategy for learning fuzzy rules that optimizes granularity based on a desired degree of specificity. In addition, this approach may be used to combine rule bases of various degrees of granularity
Keywords :
function approximation; fuzzy set theory; knowledge based systems; learning (artificial intelligence); uncertainty handling; fuzzy function approximation; fuzzy rule bases; fuzzy set theory; granularity; learning; specificity; Application software; Automatic control; Computer science; Function approximation; Fuzzy control; Fuzzy reasoning; Fuzzy sets; Laboratories; Marine vehicles; Training data;
Conference_Titel :
Fuzzy Information Processing Society - NAFIPS, 1998 Conference of the North American
Conference_Location :
Pensacola Beach, FL
Print_ISBN :
0-7803-4453-7
DOI :
10.1109/NAFIPS.1998.715546
