<![CDATA[Fuzzy logic is an appropriate way to map an input space into an output space. For very complex systems, the use of fuzzy logic is one solution. Traditional systems are designed to control a single output that comes from multiple unrelated inputs. Because of this independence, adding new inputs will complicate the control process and require recalculation of all functions. On the other hand, adding a new input to a fuzzy system, namely a system that works based on the principles of fuzzy logic, only requires the addition of new membership functions and the rules associated with it. In general, fuzzy systems are very suitable for reasoning approaches, especially for systems that handle Problems that are difficult to define using a mathematical model For example, the input values and parameters of a system are less accurate or unclear, making it difficult to define the mathematical model. Fuzzy systems have several advantages when compared to traditional systems, for example in the number of rules used. Initial processing of a large number of values into a membership degree value in the fuzzy system reduces the number of values to a membership degree value in the fuzzy system reducing the number of values the controller must use to make a decision. Another advantage is that fuzzy systems have reasoning abilities similar to human reasoning abilities. This is because the fuzzy system has the ability to respond based on information that is qualitative, inaccurate, and ambiguous.]]>
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