Haack On Fuzzy Logic

Summary of the disadvantages of fuzzy logic: Many of the advances in contemporary logic other than Aristotle are due to accurate and powerful formal inventions, which is why Hack is willing to weaken it. It is the ability to demonstrate sophistication and progress that she urged to treat abnormalities and fuzzy logic as competitors, not classical logic. Therefore, she clearly distinguishes the logic of fuzzy concepts (she accepts) from the logic of your ambiguity. In other words, "true" and "false" are no longer an accurate concept (refuse).

Fuzzy logic - fuzzy logic is the place where probability theory and propositional logic meet. The problem of propositional logic is transactions of absolute values ​​such as trading, correct or incorrect, for traders 0. The reliability of these results can not be judged. Fuzzy logic overcomes this limitation by introducing a membership function that specifies the range in which variables belong to a particular domain. For example, the company (GOOG) would be 0.7 for domain name {BUY} and 0.3 for domain name {SELL}. The combination of neural network and fuzzy logic is called the neurofuzzy system. In the survey, we will explain various fuzzy rule extraction methods.

Fuzzy logic has been around since the mid-1960's, but practical applications have been proved until the 1970's. Since then, Japan was the biggest producer of fuzzy logic applications. Fuzzy logic also appears in cameras, washing machines, and even stock trading applications. In the past decade, the United States has started using fuzzy logic. There are lots of applications that use fuzzy logic, but it does not tell you what it does. Perhaps the biggest reason is the possibility that the term "fuzzy logic" has a negative meaning.

Fuzzy logic is not ambiguous as you think, quietly working behind the scenes for over 20 years in places that most people admit. Fuzzy logic is a rule-based system that can rely on the operator's actual experience and is particularly useful for capturing knowledge of experienced operators. Since fuzzy logic is a type of artificial intelligence software, it is treated as a subset of AI. As it implements the form of decision making, it can be roughly included as a member of the AI ​​software toolkit. This is what you need to know when using fuzzy logic to solve the next application. It's not as blurry as you think