defuzzified Sentences

The fuzzy logic system required a defuzzified output to make a precise decision.

After the defuzzification process, the system generated a defuzzified output which was easy to interpret.

The final decision was based on the defuzzified output of the fuzzy logic algorithm.

The defuzzified result was a clear indication of the system's conclusion.

To convert the fuzzy input into a crisp output, the system performed the defuzzification process.

The defuzzification process is a crucial step in the fuzzy logic system's architecture.

Using the defuzzification process, the fuzzy input was transformed into a clear output.

The defuzzified output was then used to guide the next step in the decision-making process.

The defuzzification process ensured that the system's output was as precise as possible.

The defuzzified result was a simple and direct instruction for the next action.

The defuzzification process was essential for making a precise decision based on the fuzzy input data.

To achieve a crisp output, the system had to defuzzify the fuzzy input.

The defuzzified output provided a clear direction for the next steps in the process.

The defuzzification process simplified the complex fuzzy data into a single, clear value.

The defuzzified result was a decisive output that would be easy to implement.

The system defuzzified the fuzzy set to provide a clear output for the decision-making process.

The defuzzification step washed out the uncertainty and gave a clear, crisp output.

The defuzzification process provided a precise and unambiguous output for the system.

The defuzzified output was a clear and direct indication of the system's conclusion.