Title :
Rough Sets Based Fuzzy Logic Control for Greenhouse Temperature
Author :
Fang, Xu ; Junqiang, Sheng ; Jiaoliao, Chen
Author_Institution :
MOE Key Lab. of Mech. Manuf. & Autom., Zhejiang Univ. of Technol., Hangzhou
Abstract :
In this paper, a rough sets based fuzzy logic control method was proposed for greenhouse temperature control. The process of system attribute reduct and a normalized processing for the sample data were carried out. Then the discernibility function was applied in the mining of certain and association rules from an incomplete decision table. Two overall thumb rules were generated for the definition of the fuzzy logic rule set. The corresponding fuzzy logic control system for greenhouse temperature was established by using the Simulink tools of MATLAB, including the choosing of variables, grade partition of the universes, choosing of membership functions. The simulation achieved good performance, which verified the validity of employing rough sets based fuzzy logic control for greenhouse temperature control
Keywords :
control system analysis computing; data mining; decision tables; digital simulation; fuzzy control; greenhouses; mathematics computing; rough set theory; temperature control; MATLAB; Simulink; association rules; decision table; discernibility function; fuzzy logic control; fuzzy logic rule set; greenhouse temperature control; overall thumb rules; rough sets; Control systems; Data mining; Decision making; Fuzzy control; Fuzzy logic; Fuzzy systems; Knowledge acquisition; Proportional control; Rough sets; Temperature control;
Conference_Titel :
Mechatronic and Embedded Systems and Applications, Proceedings of the 2nd IEEE/ASME International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9721-5
DOI :
10.1109/MESA.2006.296991
