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Fuzzy logic is the hottest twist in the old-fashioned science of controlling processes that involve constantly changing variables. Contrary to its name, fuzzy logic is a very precise sub discipline on mathematics. It was invented in the 1960s by university of California at Berkeley's Russian born Iranian computer science professor Lotfi Zadeh.
It facilitate mathematicians and engineers to simulate human thinking by quantifying concepts such as hot, cold, very far, pretty close, quite true, most usually , almost impossible , etc. it does this by recognize that measurements are much more useful when they are characterized in linguistics terms that when taken to the fourth decimal point.
Fuzzy logic decrease a spectrum of numbers into a few categories called membership groups. Within five years virtually all the consumers' goods will come with fuzzy logic. Already fuzzy logic is inside video camcorders to reduce the motion of the camera, in washing machine to figure the optimum mix of washing conditions for that weight and grime.
Some examples where fuzzy logic is used, Cameras Digital image processing, Elevators, Carbon dioxide enrichment burner's controllers, Rice cookers, Dishwashers.
It facilitate mathematicians and engineers to simulate human thinking by quantifying concepts such as hot, cold, very far, pretty close, quite true, most usually , almost impossible , etc. it does this by recognize that measurements are much more useful when they are characterized in linguistics terms that when taken to the fourth decimal point.
Fuzzy logic decrease a spectrum of numbers into a few categories called membership groups. Within five years virtually all the consumers' goods will come with fuzzy logic. Already fuzzy logic is inside video camcorders to reduce the motion of the camera, in washing machine to figure the optimum mix of washing conditions for that weight and grime.
Some examples where fuzzy logic is used, Cameras Digital image processing, Elevators, Carbon dioxide enrichment burner's controllers, Rice cookers, Dishwashers.
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One relatively new concept being used in the development of natural languages is fuzzy logic. Classical logic has been based on either/or propositions. For example, to evaluate the phase "The cat is fat," classical logic requires a single cut-off point to determine when the cat is fat, such as specific weight for a certain length.
It is either in the set of fat cats or it is not. However, "fat" is a vague, or "gray," notion; it's more likely that the cat is "a little fat." Fuzzy logic works by allowing partial membership in a set. If the weighs 25 pounds, it may have a partial, 0.70 membership. By allowing for partial membership in sets, fuzzy logic has made control in electronic products simpler and more efficient.
Artificial intelligence has the potential to solve many problems; how ever, it may create some as well. For example, some people think that AI is dangerous because it does not address the ethics of using machines to make decisions nor doest it require machines to use ethics as part of decision making process.
It is either in the set of fat cats or it is not. However, "fat" is a vague, or "gray," notion; it's more likely that the cat is "a little fat." Fuzzy logic works by allowing partial membership in a set. If the weighs 25 pounds, it may have a partial, 0.70 membership. By allowing for partial membership in sets, fuzzy logic has made control in electronic products simpler and more efficient.
Artificial intelligence has the potential to solve many problems; how ever, it may create some as well. For example, some people think that AI is dangerous because it does not address the ethics of using machines to make decisions nor doest it require machines to use ethics as part of decision making process.
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answered 8 months ago
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