DUMMY 发表于 2025-3-21 18:38:12

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Hamper 发表于 2025-3-21 20:50:41

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vector 发表于 2025-3-22 02:45:02

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痛苦一下 发表于 2025-3-22 06:23:30

Random sets and fuzzy random variables, of Ω (the set of all possible events), and the set function ., defined on ., is a probability measure. In the simplest case we have a finite set Ω = {.,...,.} of possible outcomes, where the element . ∈ Ω has the probability ..

Repatriate 发表于 2025-3-22 09:05:59

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saturated-fat 发表于 2025-3-22 13:53:07

Introduction,n the outcomes of an experiment; vagueness, on the other hand, involves uncertainties in the meaning of the data. Examples of randomness can be found in any well-defined random experiment such as tossing a coin, observing queues, and recording observed signals. Examples of vagueness include experime

抓住他投降 发表于 2025-3-22 19:08:53

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Venules 发表于 2025-3-22 23:06:28

Operations on Fuzzy sets,ts which will be useful in the combination of vague data. If an expert is sure, for example, that the ”true” value of the price of a house is in and another expert has information that the price of the same house is in , we can calculate the intersection of these

immunity 发表于 2025-3-23 04:46:17

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激怒 发表于 2025-3-23 09:37:42

Random sets and fuzzy random variables,periment is described as usual by a probability space (Ω.), where Ω is the set of all possible outcomes of the experiment, . is a σ-algebra of subsets of Ω (the set of all possible events), and the set function ., defined on ., is a probability measure. In the simplest case we have a finite set Ω =
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查看完整版本: Titlebook: Statistics with Vague Data; Rudolf Kruse,Klaus Dieter Meyer Book 1987 Springer Science+Business Media Dordrecht 1987 Approximation.Descrip