Random fuzzy sets

Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/76758

DC Field	Value	Language
dc.contributor	應數系	-
dc.creator	Nguyen, H.T.	-
dc.creator	吳柏林	zh_TW
dc.creator	Wu, Berlin	en_US
dc.date	2006	-
dc.date.accessioned	2015-07-21T07:29:24Z	-
dc.date.available	2015-07-21T07:29:24Z	-
dc.date.issued	2015-07-21T07:29:24Z	-
dc.identifier.uri	http://nccur.lib.nccu.edu.tw/handle/140.119/76758	-
dc.description.abstract	Statistical models for observations which are numbers or vectors are random variables and random vectors, respectively. Similarly, if the observations are subsets of some set, then appropriate statistical models are random sets of that set. Motivated by the desire to generalize numbers to fuzzy numbers and random closed sets to fuzzy sets, we establish here a reasonable concept of random fuzzy sets which can be used in statistical inference with fuzzy data. © Springer-Verlag Berlin Heidelberg 2006.	-
dc.format.extent	176 bytes	-
dc.format.mimetype	text/html	-
dc.relation	Studies in Fuzziness and Soft Computing, 198, 35-43	-
dc.title	Random fuzzy sets	-
dc.type	article	en
dc.identifier.doi	10.1007/11353492_4	-
dc.doi.uri	http://dx.doi.org/10.1007/11353492_4	-
item.cerifentitytype	Publications	-
item.openairetype	article	-
item.openairecristype	http://purl.org/coar/resource_type/c_18cf	-
item.grantfulltext	restricted	-
item.fulltext	With Fulltext	-
Appears in Collections:	期刊論文

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