Rough Sets Based Fuzzy Logic Control for Greenhouse Temperature
Fang Xu, Sheng Junqiang, Chen Jiaoliao · 2006
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