๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

A semantic justification of the fuzzy control method

โœ Scribed by Helmut Becker


Publisher
Elsevier Science
Year
1996
Tongue
English
Weight
810 KB
Volume
91
Category
Article
ISSN
0020-0255

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


The three semantics of fuzzy sets
โœ Didier Dubois; Henri Prade ๐Ÿ“‚ Article ๐Ÿ“… 1997 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 942 KB

Three main semantics for membership functions seem to exist in the literature: similarity, preference and uncertainty. Each semantics underlies a particular class of applications. Similarity notions are exploited in clustering analysis and fuzzy controllers. Uncertainty is captured by fuzzy sets in

A fuzzy adaptive method for intelligent
โœ Wen Jie Wang; Bing Yong Tang ๐Ÿ“‚ Article ๐Ÿ“… 1999 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 87 KB

The newly coined term intelligent control refers both to the control design approach or philosophy and to implementation techniques that emulate certain characteristics of intelligent systems. Intelligent control as a discipline owes much to soft computing. The techniques associated with intelligent