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computer-based system(it contains both hard ware and software) that can process data that are incomplete or only partially correct
Fuzzy logic was introduced as an Artificial Intelligence technique, when it was realized that normal boolean logic would not suffice. When we make intelligent decisions, we cannot limit ourselves to "true" or "false" possibilities (boolean). We have decisions like "maybe" and other shades of gray. This is what is introduced with fuzzy logic: the ability to describe degrees of truth.
Example:
in fuel station if you stop a fuel injecting motor at 1.55897ltrs.it can be done with the help of fuzzy logic.fuzzy has a meaning like accurate.
What else can I help you with?
How is c language different from fuzzy logic?
fuzzy logic is a logic which we have to implement in c language
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".
Application of fuzzy logic in artificial intelligence?
Fuzzy logic is a key tool in artificial intelligence for handling uncertainty and imprecision, allowing systems to mimic human reasoning more effectively. It enables decision-making in complex environments where binary true/false evaluations are insufficient, such as in control systems, natural language processing, and pattern recognition. Applications include smart home systems, autonomous vehicles, and medical diagnosis, where it helps in making nuanced decisions based on ambiguous or incomplete data. By employing fuzzy logic, AI systems can operate more robustly in real-world scenarios.
Give idea of electronics and telecommunication mini-projects?
Mini projects that deal with fuzzy logic and programming with the latest tools such as Cadence, Matlab etc. are some common fields. Projects that involve new ideas and innovative technology will also be useful.
What is fuzzy keyword?
yes
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?
MALABO, hndi malinaw... fuzzy logic,,, malabong lohika,,,
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".
