Objective	The objective of this task is: To design fuzzy system for air-conditioner temperature based on fuzzy logic To develop a fuzzy system for air-conditioner temperature
Design	The design of this system involves two inputs unit of number of people and time of the day. Whereas, the output turns out by the system is a temperature value of the air condition.
	Figure 1: The Design of an Intelligent Air Conditioner System
Fuzzification	Fuzzification is the method of decomposing the input and/or output of the system into one or more fuzzy sets. Many types of curves and tables can be used, but triangular or trapezoidal membership functions are the most common, as they are simpler to represent in embedded controllers.
	Input 1: Input 2: Output:
Description	Membership function	Membership graph
PEOPLE few: <= 4 many: 10 to 16 too_many: >= 20
TIME morning : <= 10 afternoon : 12 to 14 evening : >=16
TEMPERATURE low : <= 5 medium: 20 to 25 high: >= 30
The pseudo code:	Enter the value of number of people. Assign the value entered as variable named PEOPLE Function Create label (x0, x1, x2, x3, label1, label2, label3) Initialize the value of x0, x1, x2, x3, label1, label2, label3 x0 =4 x1 = 10 x2 = 16 x3 = 20 label1 = few label2 = many label3 = toomany Function Calculate Confidence Value (PEOPLE, x0, x1, x2, x3, CF1, CF2, CF3,) If PEOPLE x0 Label1 = 1.0 Label2 = 0.0 Label3 = 0.0 If x0 < PEOPLE x1 Label1 = (PEOPLE x1) / (x0 x1) Label2 = (PEOPLE x0) / (x1 x0) Label3 = 0.0 If x1 < PEOPLE x2 Label1 = 0.0 Label2 = 1.0 Label3 = 0.0 If x2 < PEOPLE x3 Label1 = 0.0 Label2 = (PEOPLE x3) / (x2 x3) Label3 = (PEOPLE x2) / (x3 x2) PEOPLE x3 Label1 = 0.0 Label2 = 0.0 Label3 = 1.0 Function Print Labels and Confidence Value (x0, x1, x2, x3, label1, label2, label3, CF1, CF2, CF3,)