Validating fuzzy logic values

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Math Works Machine Translation The automated translation of this page is provided by a general purpose third party translator tool.Math Works does not warrant, and disclaims all liability for, the accuracy, suitability, or fitness for purpose of the translation.Here’s what you need to know to consider using fuzzy logic to help solve your next application. Fuzzy logic has been around since the mid 1960s; however, it was not until the 70s that a practical application was demonstrated.Since that time the Japanese have traditionally been the largest producer of fuzzy logic applications.Fuzzy logic is not as fuzzy as you might think and has been working quietly behind the scenes for more than 20 years in more places than most admit.Fuzzy logic is a rule-based system that can rely on the practical experience of an operator, particularly useful to capture experienced operator knowledge.

The process of converting a crisp input value to a fuzzy value is called "fuzzification".Fuzzy logic has appeared in cameras, washing machines, and even in stock trading applications.In the last decade the United States has started to catch on to the use of fuzzy logic.Fuzzy logic is a form of artificial intelligence software; therefore, it would be considered a subset of AI.Since it is performing a form of decision making, it can be loosely included as a member of the AI software toolkit.

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