DocumentCode
3160213
Title
Soft computing systems: commercial and industrial applications
Author
Bonissone, Piero P.
Author_Institution
GE Corp. Res. & Dev., Niskayuna, NY, USA
Volume
2
fYear
1999
fDate
22-25 Aug. 1999
Firstpage
580
Abstract
Soft computing (SC) is a term originally coined by Zadeh (1994) to denote systems that exploit the tolerance for imprecision, uncertainty, and partial truth to achieve tractability, robustness, low solution cost, and better rapport with reality. Soft computing is "an association of computing methodologies that includes as its principal members fuzzy logic, neuro-computing, evolutionary computing and probabilistic computing". Although we have not reached a consensus regarding the scope of SC or the nature of this association, the emergence of this new discipline is undeniable.
Keywords
business data processing; fuzzy logic; genetic algorithms; inference mechanisms; knowledge based systems; manufacturing data processing; neural nets; evolutionary computing; fuzzy logic; genetic algorithm; knowledge driven reasoning; neural computing; probabilistic computing; soft computing; Computer industry; Costs; Difference equations; Encoding; Expert systems; Fuzzy logic; Research and development; Robustness; Taxonomy; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems Conference Proceedings, 1999. FUZZ-IEEE '99. 1999 IEEE International
Conference_Location
Seoul, South Korea
ISSN
1098-7584
Print_ISBN
0-7803-5406-0
Type
conf
DOI
10.1109/FUZZY.1999.793000
Filename
793000
Link To Document