The rule evaluation is the most important stage of
fuzzy logic, since it is in this stage that the decisions made are carried out.
3.1 We see that the logical operations of the neutrosophic logic (NL) are different from the logical operations of the
fuzzy logic (FL) in terms of width, comprehensiveness and effectiveness.
After
fuzzy logic model development it was necessary to define membership functions to all input and output parameters and create rule block definitions between technological and output parameters.
Castillo, "Improved Method Based on Type-2
Fuzzy Logic for the Adaptive Harmony Search Algorithm," in
Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications, vol.
Mamdani, "A
fuzzy logic controller for a traffic junction," IEEE Transactions on Systems, Man, and Cybernetics, vol.
In [4], two connection models of a solar-wind system were studied with
fuzzy logic controllers.
Can we use
fuzzy logic to transform our informal understanding of this problem into precise formulas for such families?
Those problems are tackled by
fuzzy logic controllers.
The papers talk about
fuzzy logic and how it incorporated with intrusion on filter methods [17] [18] [19].
Ragazzini, came out in 1952, making him well-known in his field a decade and a half before
Fuzzy Logic. The paper is often cited even today.
As displayed in Figure 5, the structure of
fuzzy logic, when applied to control system, is almost identical to an open-loop or straightforward-based controller that contains an input, process and output.