Abstract
The data captured at the remote terminal unit have ambiguities and the uncertainties and it is required to take care of these. As the measurand deviates from their nominal values, preprocessing of them with fuzzy logic improves the reliability of the measurements. These captured data are preprocessed for extracting the information. The processed data after necessary processing is presented to the operator and to the higher hierarchy for taking appropriate action. Fuzzification of counts is done with triangular, trapezoidal and gaussian membership functions. It is shown that the gaussian membership function gave best results and the errors are reduced as compared to trapezoidal and triangular membership function.
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