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The "6611" page has been changed by 6611. http://wiki.apache.org/jakarta-turbine/6611 -------------------------------------------------- New page: Fuzzy concept is the basic form of thinking, it reflects the essential characteristics of objective things. In the course of human understanding, to feel things out to be a common feature of abstract generalization, which formed the concept. Such as from snow, white horse, white abstract things such as "white" concept. A concept has its connotation and extension of the concept of content means that the essential nature of things reflected in the sum, that is, the content of the concept. Extension is indeed a concept refers to the scope of the object. Such as "people" of the concept is to create tools and use tools for working animals, extension means all people at all times. The so-called fuzzy concept is the extension of the concept of uncertainty, or it's extension is not clear, is ambiguous. Such as "young" concept, its meaning is clear we are, but its extension, that is, what age the person is young, I am afraid it is difficult to intercede Chu, because "young" and "Young" s rooms do not have a defined boundary, which is a fuzzy concept. Points to note: First of all, people know when ambiguity is allowed to have subjective, fuzzy things that everyone's boundaries are not exactly the same, recognition of a certain understanding of subjectivity is a feature of fuzziness. For example, we allow 100 people to say "young" age range, then we will get 100 different answers. However, when we use the method of fuzzy statistical analysis, young age of distributed and has a certain regularity; Second, ambiguity is the precise opposite, but not passive understanding of ambiguity represents the backward productive forces On the contrary, when we deal with objective things, often by means of fuzzy. For example, many people in a room, find a "tall old man", it is not difficult to do this. By "old", "tall" is vague concept, but we only read the minds of those fuzzy concepts to analyze and judge, will soon be able to find this person in the crowd. If we are asked to use a computer check, then take all of the age, height-specific data into the computer, and then we can find such a person from the crowd. Finally, people's understanding of ambiguity is often confused with the random, in fact, there is a fundamental difference between them. Randomness is a clear meaning of its own, but as a result of the conditions are not sufficient, and makes the conditions and events can not occur between the established causal relationship to the incidence of events or shows a uncertainty. The ambiguity of things is something we have to deal with the concept itself is ambiguous, that is, whether the concept of an object is difficult to determine, that is brought about because the concept of extension of fuzzy uncertainty. [Edit this section] the development of fuzzy theory Fuzzy (Fuzzy Logic) is a University of California at Berkeley professor of electrical engineering LAzadeh founded in 1965, the mathematical theory of fuzzy sets based on the developed, including fuzzy set theory, fuzzy logic, fuzzy reasoning and fuzzy control and other aspects. As early as 20 years in the 20th century, the famous philosopher and mathematician B. Russell to write about the "ambiguity" of the paper. He believes that all natural languages are ambiguous, such as "red" and "old" and so there is no clear connotation and extension, so it is not clear and ambiguous. However, in a particular environment, people use them to describe a specific Duixiangshique can take the hint, rarely cause misunderstanding and ambiguity. LAZadeh the University of California professor in 1965 published the famous essay, paper, fuzzy things, the first time the expression of the important concepts: membership function, which broke through the late 19th century classical set theory, Descartes laid fuzzy theory basis. in 1966, PNMarinos study published in fuzzy logic, 1974, LAZadeh published study on fuzzy reasoning, Since then, fuzzy theory has become a hot topic. In 1974, the United Kingdom EHMamdani for the first time with fuzzy logic and fuzzy reasoning to achieve the world's first experimental steam engine control, and achieved more than the traditional direct digital control algorithm better results, which declared the birth of fuzzy control. 1980 Denmark LPHolmblad and Ostergard in cement kiln using fuzzy control and success, this is the first commercially practical significance of fuzzy controller. [Edit this paragraph] fuzzy area of the most widely used In fact, the most effective application of fuzzy theory, the most extensive area is fuzzy control, fuzzy control in various fields to solve the unexpected or the traditional control theory can not solve the problem difficult to solve, and made some convincing results. The basic idea of fuzzy control: the human expert on a particular object or process charged with the control strategy summarized as a series of "IF (condition) THEN (role)" form that the control rules obtained by fuzzy inference control function set, acting on charged object or process. Control of the conditions set for a group of statements, the role of the state and control statements are to be quantified for a group of fuzzy language sets, such as "CP", "negative big", "positive small", "negative small "Zero and so on. For behavioral decisions.[[http://www.jordans-sheos.com |http://www.jordans-sheos.com]] Wholesale nike air max --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
