Meaning of fuzzy logic
Fuzzy Logic
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Meaning and definition of fuzzy logic :
Fuzzy Logic: Fuzzy logic provides solutions to problems requiring expertise that is difficult to represent in the form of crisp if-then rules. Fuzzy logic recognizes more than simple true and false values. With fuzzy logic, propositions can be represented as partially true or partially false. For example, the statement, today is sunny, might be 100% true if there are no clouds, 80% true if there are a few clouds, 50% true if it is hazy and 0% true if it rains all day. The same logic applies to a dirty cloth. Fuzzy logic systems cope with uncertainty to some extent, the way people manage uncertainty in their day-to-day life. One way people do this is to use subjective, incomplete descriptions. When people say it is hot outside, it is understood even though the term is subjective. Fuzzy logic systems need to be trained by experts. Such experts may not be available. And even if they are available, these experts might not articulate their knowledge effectively. Fuzzy logic is used in applications such as washing machine settings, elevator control and some spell checkers (to suggest a list of probable words to replace a misspelled one). (See Artificial Intelligence)
For the term fuzzy logic may also exist other definitions and meanings, the meaning and definition indicated above are indicative not be used for medical and legal or special purposes.
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Glossary of knowledge terms
Fuzzy Logic
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