Our Reasoning is Clearly Fuzzy, So Why Is Crisp Logic So Often Adequate? | Publication

Title	Our Reasoning is Clearly Fuzzy, So Why Is Crisp Logic So Often Adequate?
Creator	Wu, Berlin 吳柏林 Kreinovich, Vladik Nguyen, Hung T.
Contributor	應數系
Date	2015-06
Date Issued	15-Jan-2016 14:23:04 (UTC+8)
Summary	Our reasoning is clearly fuzzy, so why is crisp logic so often adequate? We explain this phenomenon by showing that in the presence of noise, an arbitrary continuous (e.g., fuzzy) system can be well described by its discrete analog. However, as the description gets more accurate, the continuous description becomes necessary.
Relation	International Journal of Intelligent Technologies & Applied Statistics, 8(2), 133-137
Type	article
DOI	http://dx.doi.org/10.6148/IJITAS.2015.0802.05

dc.contributor	應數系	-
dc.creator (作者)	Wu, Berlin	-
dc.creator (作者)	吳柏林	zh_TW
dc.creator (作者)	Kreinovich, Vladik	en_US
dc.creator (作者)	Nguyen, Hung T.	en_US
dc.date (日期)	2015-06	-
dc.date.accessioned	15-Jan-2016 14:23:04 (UTC+8)	-
dc.date.available	15-Jan-2016 14:23:04 (UTC+8)	-
dc.date.issued (上傳時間)	15-Jan-2016 14:23:04 (UTC+8)	-
dc.identifier.uri (URI)	http://nccur.lib.nccu.edu.tw/handle/140.119/80601	-
dc.description.abstract (摘要)	Our reasoning is clearly fuzzy, so why is crisp logic so often adequate? We explain this phenomenon by showing that in the presence of noise, an arbitrary continuous (e.g., fuzzy) system can be well described by its discrete analog. However, as the description gets more accurate, the continuous description becomes necessary.	-
dc.format.extent	235015 bytes	-
dc.format.mimetype	application/pdf	-
dc.relation (關聯)	International Journal of Intelligent Technologies & Applied Statistics, 8(2), 133-137	-
dc.title (題名)	Our Reasoning is Clearly Fuzzy, So Why Is Crisp Logic So Often Adequate?	-
dc.type (資料類型)	article	-
dc.identifier.doi (DOI)	10.6148/IJITAS.2015.0802.05	-
dc.doi.uri (DOI)	http://dx.doi.org/10.6148/IJITAS.2015.0802.05	-