Title :
Fuzzy Control Rules´ Revisal Based on the Compatibility
Author :
Li, Zhigang ; Guo, Weijia ; Chen, Yuliang
Author_Institution :
Coll. of Comput. & Autom. Control, Hebei Polytech. Univ., Tangshan, China
Abstract :
Because fuzzy control rules play an important part in determining the quality of a fuzzy controller, when the fuzzy control rules are extracted, the problem about how to get rid of the unreasonable or incompatible rules should be considered, when it is in the field where people is inexperienced. To better the quality of the fuzzy controller, a method of revising the rule which is incompatible with other rules or unreasonable is offered in the article. An instance is also offered to show the necessity and feasibility of the method in the article.
Keywords :
fuzzy control; fuzzy control rules; fuzzy controller; rule compatibility; Automatic control; Control systems; Data mining; Delta modulation; Educational institutions; Fuzzy control; Industrial control; Intelligent systems; Niobium; Pressure control; Possibility degree; incompatibility degree; standard deviation;
Conference_Titel :
Intelligent Human-Machine Systems and Cybernetics, 2009. IHMSC '09. International Conference on
Conference_Location :
Hangzhou, Zhejiang
Print_ISBN :
978-0-7695-3752-8
DOI :
10.1109/IHMSC.2009.237