The present invention relates to a technique for applying a fuzzy logic control technique to a control system such as chemical, power generation, and numerical processing. In a general fuzzy logic controller, by changing the parameter of the belonging function, Therefore, it is necessary to have a lot of experience in rule setting for sophisticated control, and a lot of data by simulation and experiment is required, so that it is difficult to adjust a controller having a desired characteristic according to a control object. In order to solve this problem, it is possible to perform fine control of response characteristics by using multi-criteria attribute values and to adjust automatically by expert technique instead of manual control in order to minimize the desired performance index of response characteristics. Using the evaluation and importance of the attribute value, the weight of each rule Can be concretely determined as a desired specification, and it is possible to request various responses including a rise time, an overshoot, a correction time, and the like compared to a conventional technology in which a driver can make a response only by a set value in a steady state. The control application range of the system can be widened.
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