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A mathematical technique for dealing with imprecise data and problems that have many solutions rather than one. Although it is implemented in digital computers which ultimately make only yes-no decisions, fuzzy logic works with ranges of values, solving problems in a way that more resembles human logic. Fuzzy logic is used for solving problems with expert systems and real-time systems that must react to an imperfect environment of highly variable, volatile or unpredictable conditions. It "smoothes the edges" so to speak, circumventing abrupt changes in operation that could result from relying on traditional either-or and all-or-nothing logic.
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Why is fuzzy logic not best in solving uncertainty?
Certainly fuzzy logic is not the best in solving uncertainty, but..... it is on of the best alternatives to that exists to model uncertainty.
What is fuzzy approximation theorem?
This theorem tells, roughly, that any mathematical system can be approximated by fuzzy logic. Hopefully this page http://sipi.usc.edu/~kosko/ helps more.
What is the Difference between fuzzy logic and probability?
The difference between probability and fuzzy logic is clear when we consider the underlying concept that each attempts to model. Probability is concerned with the undecidability in the outcome of clearly defined and randomly occurring events, while fuzzy logic is concerned with the ambiguity or undecidability inherent in the description of the event itself. Fuzziness is often expressed as ambiguity rather than imprecision or uncertainty and remains a characteristic of perception as well as concept.
Difference between crisp logic and fuzzy logic?
Crisp :Binary logicIt may be occur or non occurindicator functionFuzzy logicContinuous valued logicmembership functionConsider about degree of membership
Which is the function of matlab?
matlab stands for matrix laboratory.. the function of matlab to create different types of signal and observe them .and their are so many different functions of matlab like, simulink fuzzy logic,simply arithmetic ,GUI etc
Fuzzy logic previous papers please?
fuzzy logic papers fuzzy logic papers fuzzy logic papers
How is c language different from fuzzy logic?
fuzzy logic is a logic which we have to implement in c language
When was Fuzzy Logic EP created?
Fuzzy Logic EP was created in 1992.
When was Fuzzy Logic Recordings created?
Fuzzy Door Productions was created in 1996.
When was Fuzzy Logic - album - created?
Fuzzy Logic - album - was created on 1996-05-20.
Is fuzzy logic the best approach to uncertainty?
I don't agree that fuzzy logic is the best approach to uncertainty
What actors and actresses appeared in Fuzzy Logic - 1998?
The cast of Fuzzy Logic - 1998 includes: Carlos Bertoli
How can you describe the cup contains 500 milimeters as fuzzy logic?
How can you describe the cup contains 500 millimeters as fuzzy logic?
Why is fuzzy logic not best in solving uncertainty?
Certainly fuzzy logic is not the best in solving uncertainty, but..... it is on of the best alternatives to that exists to model uncertainty.
What is tagalog of fuzzy?
The Tagalog word for "fuzzy" is "malabo" or "magulo."
What is fuzzy function?
membership function is the one of the fuzzy function which is used to develope the fuzzy set value . the fuzzy logic is depends upon membership function
What is definition for fuzzy engineering?
Fuzzy engineering is an industry term which generally refers to the design of a product that benefits from fuzzy logic. Fuzzy logic contracts with traditional digital logic in that it utilizes a weighted non-binary result making process. For example, if two sensors were connected to a fuzzy logic algorithm, each sensor might respond slightly differently from the other. Depending on which sensor produced the "best result" a weight would be assigned. That weight would then be applied as a bias and a "fuzzy" response would be produced. Fuzzy logic is of particular value in the fields of artificial intelligence, robotics, feedback loop modeling and in human mimicktry. Because fuzzy logic produces a result which is not "0" or "1" it is well suited in applications that require computational results for life's "grey areas".
