Adaptive fuzzy control of thermal comfort in smart houses

This paper deals with an adaptive fuzzy mechanism for heating control in smart houses. A fuzzy approach is connected with an expert system and considers various input data which can enter the system. The proposed adaptive mechanism adjusts the thermal comfort rate based on the input data and IF-THEN rules. The knowledge base of the expert system is created based on input data and it is possible to extend it to other possible input values. The proposed adaptive mechanism is demonstrated on a particular example.