Q.

What is meant by Fuzzy Logic?

Asked by cyrus irani,
01 Mar '10 01:55 pm

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Answers (7)

1.

Fuzzy logic is a super set of conventional (Boolean) logic that has been

extended to handle the concept of partial truth -- truth values between

"completely true" and "completely false".

It was introduced by Dr. Lotfi Zadeh of UC/Berkeley in the 1960's as a means to model the uncertainty

of natural language.

Zadeh says that rather than regarding fuzzy theory as a single theory, we

should regard the process of ``fuzzification'' as a methodology to

generalize ANY specific theory from a crisp (discrete) to a continuous

(fuzzy) form. Thus recently researchers have also introduced "fuzzy calculus", "fuzzy differential equations", ...more

Answered by anantharaman, 01 Mar '10 02:02 pm
extended to handle the concept of partial truth -- truth values between

"completely true" and "completely false".

It was introduced by Dr. Lotfi Zadeh of UC/Berkeley in the 1960's as a means to model the uncertainty

of natural language.

Zadeh says that rather than regarding fuzzy theory as a single theory, we

should regard the process of ``fuzzification'' as a methodology to

generalize ANY specific theory from a crisp (discrete) to a continuous

(fuzzy) form. Thus recently researchers have also introduced "fuzzy calculus", "fuzzy differential equations", ...more

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2.

It is multi-valued logic derived from `fuzzy set theory' to deal with reasoning that is approximate rather than precise.

Answered by Anil K Chugh, 01 Mar '10 02:16 pm
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3.

Computers operate on a binary true or false basis. Unfortunately our world is not binary. The world we live in is full of ambiguities. "The temperature is pretty warm" cannot be evaluated as strictly true or false rather we accept that this statement has certain ambiguities. Thus, the mathematical theory of fuzzy logic was developed. The theory of fuzzy logic basically states that rather than a statement being true or false, each statement has a certain confidence level...!

Answered by Dil Se, 02 Mar '10 10:27 pm
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4.

The principal objective of fuzzy logic is formalization/mechanization of this capability.

Answered by saranathan Narasimhan, 01 Mar '10 02:24 pm
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5.

Fuzzy logic is the one which doent have boundaries.....

it has some technical terms like membership values ,functions etc......

it finds a good application in airplanes,industries....

to get a good response,which has to be answered good for each and every value....

fro example..it wil respond if the input is 0 or 0.1,....,0.9.,1,...but the crisp value wil respond only for 0 and 1...whcih is not appreciable...thast y we go for fuzzy logic.....we will precise output....can avoid peak disturbance,etc..it has many applcations....

Answered by menaka menaka, 01 Mar '10 02:13 pm
it has some technical terms like membership values ,functions etc......

it finds a good application in airplanes,industries....

to get a good response,which has to be answered good for each and every value....

fro example..it wil respond if the input is 0 or 0.1,....,0.9.,1,...but the crisp value wil respond only for 0 and 1...whcih is not appreciable...thast y we go for fuzzy logic.....we will precise output....can avoid peak disturbance,etc..it has many applcations....

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6.

Fuzzy logic is a form of multi-valued logic derived from fuzzy set theory to deal with reasoning that is approximate rather than precise. In contrast with "crisp logic", where binary sets have binary logic, the fuzzy logic variables may have a membership value of not only 0 or 1 that is, the degree of truth of a statement can range between 0 and 1 and is not constrained to the two truth values of classic propositional logic. Furthermore, when linguistic variables are used, these degrees may be managed by specific functions.

Fuzzy logic emerged as a consequence of the 1965 proposal of fuzzy set theory by Lotfi Zadeh.[2][3] Though fuzzy logic has been applied to many fields, from control theory to artificial intelligence, it still remains controversial among most statisticians, who prefer Bayesian logic, and some control engineers, who prefer traditional two-valued logic.

Answered by gkr, 01 Mar '10 02:02 pm
Fuzzy logic emerged as a consequence of the 1965 proposal of fuzzy set theory by Lotfi Zadeh.[2][3] Though fuzzy logic has been applied to many fields, from control theory to artificial intelligence, it still remains controversial among most statisticians, who prefer Bayesian logic, and some control engineers, who prefer traditional two-valued logic.

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7.

Fuzzy logic is a form of multi-valued logic derived from fuzzy set theory to deal with reasoning that is approximate rather than precise.!! Fuzzy logic has two different meanings. In a narrow sense, fuzzy logic is a logical system, which is an extension of multivalued logic. However, in a wider sense fuzzy logic (FL) is almost synonymous with the theory of fuzzy sets, a theory which relates to classes of objects with unsharp boundaries in which membership is a matter of degree. In this perspective, fuzzy logic in its narrow sense is a branch of FL. Even in its more narrow definition, fuzzy logic differs both in concept and substance from traditional multivalued logical systems.!!gg

Answered by Oberoi, 01 Mar '10 02:00 pm
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