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What is fuzzy logic used for?

What is fuzzy logic used for?

Fuzzy logic has been used in numerous applications such as facial pattern recognition, air conditioners, washing machines, vacuum cleaners, antiskid braking systems, transmission systems, control of subway systems and unmanned helicopters, knowledge-based systems for multiobjective optimization of power systems.

What do you understand by fuzzy logics why and where they are used?

Fuzzy logic is an extension of classical logic that incorporates the uncertainties that factor into human decision-making. It is frequently used to solve complex problems, where the parameters may be unclear or imprecise.

What is fuzzy logic give an example?

Application Areas of Fuzzy Logic

Product Company Fuzzy Logic
Kiln control Nippon Steel Mixes cement
Microwave oven Mitsubishi Chemical Sets lunes power and cooking strategy
Palmtop computer Hitachi, Sharp, Sanyo, Toshiba Recognizes handwritten Kanji characters
Plasma etching Mitsubishi Electric Sets etch time and strategy

What is Defuzzification with example?

For example, rules designed to decide how much pressure to apply might result in “Decrease Pressure (15%), Maintain Pressure (34%), Increase Pressure (72%)”. Defuzzification is interpreting the membership degrees of the fuzzy sets into a specific decision or real value.

What is fuzzy theory?

Fuzzy set theory is a research approach that can deal with problems relating to ambiguous, subjective and imprecise judgments, and it can quantify the linguistic facet of available data and preferences for individual or group decision-making (Shan et al., 2015a).

Why do we need fuzzy sets?

Fuzzy set theory has been shown to be a useful tool to describe situations in which the data are imprecise or vague. Fuzzy sets handle such situations by attributing a degree to which a certain object belongs to a set.

What is fuzzy logic define the areas where fuzzy logic is used?

Fuzzy logic is an approach to computing based on “degrees of truth” rather than the usual “true or false” (1 or 0) Boolean logic on which the modern computer is based. The idea of fuzzy logic was first advanced by Lotfi Zadeh of the University of California at Berkeley in the 1960s.

What do you mean by fuzzy?

Definition of fuzzy 1 : marked by or giving a suggestion of fuzz a fuzzy covering of felt a fuzzy stuffed toy. 2 : lacking in clarity or definition moving the camera causes fuzzy photos The line between our areas of responsibility is fuzzy. His reasoning is a little fuzzy.

What is fuzzy logic also explain its architecture in detail?

Fuzzy Logic (FL) is a method of reasoning that resembles human reasoning. The approach of FL imitates the way of decision making in humans that involves all intermediate possibilities between digital values YES and NO. The fuzzy logic works on the levels of possibilities of input to achieve the definite output.

What is fuzzy computing?

Fuzzy logic is an approach to computing based on “degrees of truth” rather than the usual “true or false” (1 or 0) Boolean logic on which the modern computer is based. Natural language — like most other activities in life and indeed the universe — is not easily translated into the absolute terms of 0 and 1.

What is convex fuzzy set?

Convex fuzzy set. A fuzzy set µ is said to be convex, if for all x,y ∈ suppµ and. λ ∈ [0,1] there is. µ(λx + (1 − λ)y) ≥ λµ(x)+(1 − λ)µ(y).

What is the meaning of fuzzy in mathematics?

Fuzzy logic is an extension or a superset of the Boolean logic – aimed at maintaining the concept of the “partial truth,” i.e. expression values ranging from “completely truthful” to “completely untruthful” (from 0 to 1).

What are some things to know about fuzzy logic?

1 This system can work with any type of inputs whether it is imprecise, distorted or noisy input information. 2 The construction of Fuzzy Logic Systems is easy and understandable. 3 Fuzzy logic comes with mathematical concepts of set theory and the reasoning of that is quite simple.

How is fuzzy logic used in copy machines?

In copy machines, fuzzy logic is used to adjust drum voltage based on factors such as humidity, picture density and temperature. In aerospace, fuzzy logic is used to manage altitude control for satellites and spacecrafts based on environmental factors.

How is fuzzy logic used in data mining?

Fuzzy logic is a set of rules that can be used to reach logical conclusions from fuzzy sets of data. Since data mining is often applied to imprecise measurements, fuzzy logic is a useful way of determining relevant relationships from this kind of data.

When to use Compensatory fuzzy logic ( CFL )?

Compensatory fuzzy logic (CFL) is a branch of fuzzy logic with modified rules for conjunction and disjunction. When the truth value of one component of a conjunction or disjunction is increased or decreased, the other component is decreased or increased to compensate.