Temperature plays an important role in determining the efficiency of any industrial process. Taking into consideration the demand for energy efficient and conservative system the industries are looking forward to implement the new systems to control the process. Fuzzy logic and PID are the most recognized approaches taken to effectively control the process. FLC system is gaining momentum as an alternative to replace current Proportional Integral Derivative (PID) controllers, as PID constants are incorrect at times due to the lack of understanding of the temperature control process and its parametric changes making the system complex. Therefore in order to reduce the complexity of the system and to solve the problems related to temperature control process based on known and unknown parameters such as dead zone saturation and hysteresis, a unique FLC system using direct implementation involving less number of rules is proposed to be developed. In this paper we try to establish the performance levels of PID controller and Fuzzy Logic Controllers (FLC) for the same system. FLC is implemented using a smaller rule set and PID Controller is tuned and the parameters are calculated using the Ziegler Nichols method. The study is conducted using the help of MATLAB Simulink Software. © 2013 IEEE.