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, .
New computing methods based on fuzzy logic can be used in the development of intelligent systems for decision making, identification, pattern recognition, optimization and control. Indeed, fuzzy logic, once thought to be an obscure mathematical curiosity, can be found in many engineering and scientific applications.
What is fuzzy logic and how is it used?
« Fuzzy logic is a technique for representing and manipulating uncertain information. In the more traditional propositional logic, each fact or proposition, such as ‘it will rain tomorrow,’ must be either true or false. Yet much of the information that people use about the world involves some degree of uncertainty.Oct 21, 1999
How is fuzzy logic used in artificial intelligence?
An algorithm based on Fuzzy Logic takes all available data while solving a problem. It then takes the best possible decision according to the given input. . He said that Fuzzy Logic in artificial intelligence is a generalized form of standard logic, where any concept might have a truth degree ranging between 0.0 and 1.0.
What is the use of fuzzy set 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).
How is fuzzy logic used?
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, .
Is Fuzzy Logic dead?
Fuzzy logics (there are several kinds) are logical systems which allow statements to take truth values that lie in a continuum between truth and falsehood. . In this sense, fuzzy logic is not dead.
What is the need of Fuzzification?
The purpose of fuzzification is to encode to precision values into fuzzy linguistic values. To use a fuzzy control system, the measurement values (e.g., readings from sensors) of input parameters are always crisp in general.
Who invented fuzzy logic?
Lotfi Zadeh
What is fuzzy logic with example?
What Is Fuzzy Logic? Fuzzy Logic is defined as a many-valued logic form which may have truth values of variables in any real number between 0 and 1. It is the handle concept of partial truth.
What is fuzzy logic example?
What Is Fuzzy Logic? Fuzzy Logic is defined as a many-valued logic form which may have truth values of variables in any real number between 0 and 1. It is the handle concept of partial truth.
What are the main advantages of applying fuzzy logic in knowledge based systems?
Advantages. A Fuzzy Logic System is flexible and allow modification in the rules. Even imprecise, distorted and error input information is also accepted by the system. The systems can be easily constructed.
What is a fuzzy logic system?
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.
Where do we implement artificial intelligence fuzzy logic?
Fuzzy logic is used in Natural language processing and various intensive applications in Artificial Intelligence. It is extensively used in modern control systems such as expert systems. Fuzzy Logic mimics how a person would make decisions, only much faster. Thus, you can use it with Neural Networks.
What do you mean by Fuzzification and Defuzzification?
Definition. Fuzzification is the process of transforming a crisp set to a fuzzy set or a fuzzy set to fuzzier set. Defuzzification is the process of reducing a fuzzy set into a crisp set or converting a fuzzy member into a crisp member.
How do you use fuzzy logic?
Fuzzy logic is supposed to be used for reasoning about inherently vague concepts, such as ‘tallness. ‘ For example, we might say that ‘President Clinton is tall,’ with degree of truth of 0.9.Oct 21, 1999
What is fuzzy logic give an example?
What Is Fuzzy Logic? Fuzzy Logic is defined as a many-valued logic form which may have truth values of variables in any real number between 0 and 1. It is the handle concept of partial truth.
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