The defuzzification methods, in particular that of Kaufmann and Grupta (1988), which was chosen to transform the fuzzy number into crisp, is directly linked to the results obtained, as mentioned in ...

Defuzzification is used to transform fuzzy inference results into crisp output. The standard defuzzification methods fail in some applications. It is, therefore, important to select appropriate ...

It's a Java-based application that provides functions and tools for designing and simulating fuzzy logic systems. It offers a user-friendly interface for creating and testing fuzzy logic systems by ...

The aim of this paper is, first, to review defuzzification operators that are suitable for handling geographic data of ratio scale and second to compare these defuzzification operators by applying ...

Five defuzzification methods were used in Mamdani inference: center of gravity of the area (centroid), the bisector of the area (bisector), largest of maxima (lom), middle of maxima (mom), and ...

After defuzzification, we receive a confidence score of 88.6%. The fuzzy system gives a high confidence score because the weed is detected correctly by both the cameras.