Fuzzy control: Difference between revisions

From Citizendium
Jump to navigation Jump to search
imported>Giangiacomo Gerla
No edit summary
mNo edit summary
 
(10 intermediate revisions by 6 users not shown)
Line 1: Line 1:
By the expression ''"Fuzzy logic"'' one denotes several topics which are related with the notion of [[fuzzy set|fuzzy subset]] defined in 1965 by [[Lotfi Asker Zadeh|Lotfi Zadeh]]. The idea is that we can represent the extension of a vague property by a generalized characteristic function in which truth values in the interval [0,1] are admitted.
{{subpages}}
 
We have to distinguish two possible interpretations of the expression "fuzzy logic". The first one is given by people interested to applications and to an informal utilization of the notion of [[fuzzy subset]]. In such a case should be better expressions as "fuzzy logic in board sense" or "[[fuzzy subset|fuzzy subset theory]]".
 
Another interpretation is given by people which consider fuzzy logic as a chapter of formal logic, more precisely of multi-valued logic. In such a case one uses expressions as "[[formal fuzzy logic]]" or "[[formal fuzzy logic|fuzzy logic in narrow sense]]".
 


'''Fuzzy control''' is the main success of fuzzy set theory and it is devoted to useful applications.
The idea is that we can consider IF-THEN rules in which fuzzy quantities are involved.


== See also ==
== See also ==
Line 18: Line 15:
* [[Pattern recognition]]
* [[Pattern recognition]]
* [[Rough set]]
* [[Rough set]]
* [[Soft-computing]]
* [[Soft-computing]][[Category:Suggestion Bot Tag]]
 
 
[[category:CZ Live]]
[[category:Computers Workgroup]]
[[category:Mathematics Workgroup]]
[[category:Philosophy Workgroup]]

Latest revision as of 16:00, 19 August 2024

This article is a stub and thus not approved.
 Main Article
 Discussion
Related Articles  [?]
Bibliography  [?]
External Links  [?]
Citable Version  [?]
 
https://en.citizendium.org/wiki/index.php?title=Fuzzy_control&printable=yes
This editable Main Article is under development and subject to a disclaimer.

Fuzzy control is the main success of fuzzy set theory and it is devoted to useful applications. The idea is that we can consider IF-THEN rules in which fuzzy quantities are involved.

See also

Retrieved from "https://citizendium.org/wiki/index.php?title=Fuzzy_control&oldid=972827"