On Problems of Knowledge in Fuzzy Control: Extended Abstract
Gal A. Kaminka · 1997
Gal A. Kaminka Computer Science Department and Information Sciences Institute University of Southern California 4676 Admiralty Way, Marina del Rey, CA 90292 (310) 822-1511 [email protected] Introduction The field of Fuzzy Control have enjoyed tremendous success in the last decade, with both theoretical and industrial developments being introduced at an increasing rate 1 . However, fuzzy control is just one application of Soft Computing methods in general, and Fuzzy Sets theory in particular. This principled approach to approximate reasoning is not limited only to control problems, but is useful also in closely related fields, such as Artificial Intelligence (AI) in its various forms and guises, Decision Sciences, Quantitative and Qualitative Decision Theory, theoretical studies of Uncertainty, Information and Knowledge, etc. As we seek to expand the success of fuzzy control to these fields, it is very tempting to attempt use of known methods in a familiar way to solve problems in these ...