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Assignment #4  ECE449, Intelligent Systems Engineering 

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Assignment #4
ECE449, Intelligent Systems Engineering

Points: 10
Due: Thursday, October 10, 2019, 3:30 PM,
in the assignment box in the ETLC atrium
Note: Show your work! Marks are allocated
for technique and not just the answer.
1. [10 marks] A fuzzy system is used to control the temperature in a room. The inputs to the controller are
the ‘Temperature’ and ‘Temperature change’. The outputs are the ‘Fan Speed’ and ‘Heater power’. The
membership functions are shown in the following figures
and the rule base is described by the following table
LOW MEDIUM HIGH

Category:
5/5 - (2 votes)

Assignment #4
ECE449, Intelligent Systems Engineering

Points: 10
Due: Thursday, October 10, 2019, 3:30 PM,
in the assignment box in the ETLC atrium
Note: Show your work! Marks are allocated
for technique and not just the answer.
1. [10 marks] A fuzzy system is used to control the temperature in a room. The inputs to the controller are
the ‘Temperature’ and ‘Temperature change’. The outputs are the ‘Fan Speed’ and ‘Heater power’. The
membership functions are shown in the following figures
and the rule base is described by the following table
LOW MEDIUM HIGH
NEG LOW/ON ON/LOW MEDIUM/ON
ZERO LOW/ON LOW/OFF MEDIUM/OFF
POS LOW/OFF MEDIUM/OFF HIGH/OFF
If the temperature is 22°C and the change of temperature is 4°C/hr, answer the following questions:
a) What is the result of fuzzification of those inputs?
b) Use the rules and Mamdani inference to specify the output fuzzy membership functions.
c) Calculate the ‘Heater power’ and ‘Fan speed’ using your choice of defuzzification method.
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