Title :
On the Execution of Fuzzy Programs Using Finite-State Machines
Author_Institution :
Department of Electrical Engineering, Cornell University, Ithaca, N. Y. 14850.; IBM T. J. Watson Research Center, Yorktown Heights, N. Y. 10598.
fDate :
3/1/1972 12:00:00 AM
Abstract :
An abstract model for the execution of fuzzy programs using finite-state machines is described, Different ways of executing fuzzy programs are investigated. It is shown that the performance function ¿ of a fuzzy machine M¿ can be effectively constructed so that the program searching cost of an elementary fuzzy program, a number of elementary fuzzy programs, or a regular fuzzy program is minimized. Some application examples are discussed.
Keywords :
Artificial intelligence; Books; Cost function; Fuzzy control; Humans; Information retrieval; Learning systems; Machine learning; Pattern recognition; Process control; Artificial intelligence; fuzzy machine; fuzzy program; heuristic search; information retrieval; learning machine; pattern recognition;
Journal_Title :
Computers, IEEE Transactions on
DOI :
10.1109/TC.1972.5008946
