Please use this identifier to cite or link to this item:
https://ah.lib.nccu.edu.tw/handle/140.119/61556
DC Field | Value | Language |
---|---|---|
dc.contributor | 應數系 | en_US |
dc.creator | 吳柏林 | zh_TW |
dc.creator | Wu,Berlin | - |
dc.creator | Yang,Chih Ching | en_US |
dc.date | 2012.06 | en_US |
dc.date.accessioned | 2013-11-11T01:38:48Z | - |
dc.date.available | 2013-11-11T01:38:48Z | - |
dc.date.issued | 2013-11-11T01:38:48Z | - |
dc.identifier.uri | http://nccur.lib.nccu.edu.tw/handle/140.119/61556 | - |
dc.description.abstract | How to evaluate an appropriate correlation with fuzzy data is an important topic in the economics especially when the data illustrate uncertain, inconsistent and incomplete type. Traditionally, we use Pearson`s Correlation Coefficient to measure the correlation between data with real value. However, when the data are composed of fuzzy numbers, it is not feasible to use such a traditional approach to determine the fuzzy correlation coefficient. This study proposes the calculation of fuzzy correlation with of fuzzy data: Interval, triangular and trapezoidal. Empirical studies are used to illustrate the application for evaluating fuzzy correlations. More related practical phenomena can be explained by this appropriate definition of fuzzy correlation. | en_US |
dc.format.extent | 408462 bytes | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | en_US | - |
dc.relation | International Journal of Intelligent Technologies and Applied Statistics, 5(2), 109-120 | en_US |
dc.subject | Evaluation ; Fuzzy data ; Psychometrics | en_US |
dc.title | A new approach on Correlation Evaluation with Fuzzy Data and its Applications in Econometrics | en_US |
dc.type | article | en |
item.grantfulltext | open | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.fulltext | With Fulltext | - |
item.languageiso639-1 | en_US | - |
item.cerifentitytype | Publications | - |
item.openairetype | article | - |
Appears in Collections: | 期刊論文 |
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File | Description | Size | Format | |
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109120.pdf | 398.89 kB | Adobe PDF2 | View/Open |
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