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

DUMMY

书目名称Statistics with Vague Data影响因子(影响力)




书目名称Statistics with Vague Data影响因子(影响力)学科排名




书目名称Statistics with Vague Data网络公开度




书目名称Statistics with Vague Data网络公开度学科排名




书目名称Statistics with Vague Data被引频次




书目名称Statistics with Vague Data被引频次学科排名




书目名称Statistics with Vague Data年度引用




书目名称Statistics with Vague Data年度引用学科排名




书目名称Statistics with Vague Data读者反馈




书目名称Statistics with Vague Data读者反馈学科排名

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 =