Titlebook: Statistics with Vague Data; Rudolf Kruse,Klaus Dieter Meyer Book 1987 Springer Science+Business Media Dordrecht 1987 Approximation.Descrip

DUMMY

書目名稱Statistics with Vague Data影響因子(影響力)




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書目名稱Statistics with Vague Data網(wǎng)絡(luò)公開度學(xué)科排名




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書目名稱Statistics with Vague Data讀者反饋




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Hamper

vector

痛苦一下

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

saturated-fat

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

Venules

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 [200,000; 300,000] and another expert has information that the price of the same house is in [250,000; 350,000], we can calculate the intersection of these

immunity

激怒

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 =