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A fuzzy logic controller (FLC) formation with an efficient understanding and a small rule base that can be simply implemented in existing industrial controllers was proposed. It was depicted in both software simulation and hardware test in an industrial setting that the fuzzy logic control is much more capable than the current temperature controllers. This includes compensating for thermo mass changes in the system, dealing with unknown and variable delays, operating at very different temperature set points without retuning, etc. It is achieved by implementing, in FLC, a classical control strategy and an adaptation method to compensate for the dynamic changes in the system. The proposed FLC was applied to two different temperature processes and significant improvements in the system performance are observed in both cases. Furthermore, the stability of the FLC is investigated and a safeguard is established.