Fuzzy statistical analysis and estimation | Publication

Title	Fuzzy statistical analysis and estimation
Creator	Wu, Berlin 吳柏林 Nguyen, H.T.
Contributor	應數系
Date	2006
Date Issued	21-Jul-2015 15:29:30 (UTC+8)
Summary	In social science research, many decisions, evaluations, or purposes of evaluations are done by surveys or questionnaires to seek for people`s consensus. The commonly used method is asking people to think in binary logic way from a multiple choice design. However, these processes often ignore the fuzzy, sometimes even ambiguous thinking behavior perceived in human logic and recognition. © Springer-Verlag Berlin Heidelberg 2006.
Relation	Studies in Fuzziness and Soft Computing, 198, 109-128
Type	article
DOI	http://dx.doi.org/10.1007/11353492_7

dc.contributor	應數系	-
dc.creator (作者)	Wu, Berlin	-
dc.creator (作者)	吳柏林	zh_TW
dc.creator (作者)	Nguyen, H.T.	en_US
dc.date (日期)	2006	-
dc.date.accessioned	21-Jul-2015 15:29:30 (UTC+8)	-
dc.date.available	21-Jul-2015 15:29:30 (UTC+8)	-
dc.date.issued (上傳時間)	21-Jul-2015 15:29:30 (UTC+8)	-
dc.identifier.uri (URI)	http://nccur.lib.nccu.edu.tw/handle/140.119/76761	-
dc.description.abstract (摘要)	In social science research, many decisions, evaluations, or purposes of evaluations are done by surveys or questionnaires to seek for people`s consensus. The commonly used method is asking people to think in binary logic way from a multiple choice design. However, these processes often ignore the fuzzy, sometimes even ambiguous thinking behavior perceived in human logic and recognition. © Springer-Verlag Berlin Heidelberg 2006.	-
dc.format.extent	176 bytes	-
dc.format.mimetype	text/html	-
dc.relation (關聯)	Studies in Fuzziness and Soft Computing, 198, 109-128	-
dc.title (題名)	Fuzzy statistical analysis and estimation	-
dc.type (資料類型)	article	en
dc.identifier.doi (DOI)	10.1007/11353492_7	-
dc.doi.uri (DOI)	http://dx.doi.org/10.1007/11353492_7	-