# Fuzzy Logic

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## Fuzzy Logic

A system which mathematically models complex relationships which are usually handled in a vague manner by language. Under the title of "Fuzzy Logic" falls formal fuzzy logic (a multi-valued form of logic), and fuzzy sets. Fuzzy sets measure the similarity between an object and a group of objects. A member of a fuzzy set can belong to both the set, and its complement. Fuzzy sets can more closely approximate human reasoning than traditional "crisp" sets. See: Crisp sets.

## Fuzzy Logic

A form of logic programmed into some computers to allow them to use probability. That is, fuzzy logic allows computers to deal with uncertainty and to make decisions based on the information available. Unlike pure logic, which requires certainty, fuzzy logic helps computers make decisions the way humans do, only faster. This can be important in some investment strategies, such as arbitrage, that require decisions to be made very quickly.
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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?
Fuzzy Logic. Fuzzy logic is a modeling technique in which two human capabilities, which are the reasoning ability and the ability to fulfill different mental tasks, are tried to be mechanized [41].
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.

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