| dc.contributor | 應數系 | en_US |
| dc.creator (作者) | 吳柏林 | zh_TW |
| dc.creator (作者) | Wu,Berlin | - |
| dc.creator (作者) | Yang,Chih Ching | en_US |
| dc.date (日期) | 2012.06 | en_US |
| dc.date.accessioned | 11-Nov-2013 09:38:48 (UTC+8) | - |
| dc.date.available | 11-Nov-2013 09:38:48 (UTC+8) | - |
| dc.date.issued (上傳時間) | 11-Nov-2013 09:38:48 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/61556 | - |
| dc.description.abstract (摘要) | 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 (關聯) | International Journal of Intelligent Technologies and Applied Statistics, 5(2), 109-120 | en_US |
| dc.subject (關鍵詞) | Evaluation ; Fuzzy data ; Psychometrics | en_US |
| dc.title (題名) | A new approach on Correlation Evaluation with Fuzzy Data and its Applications in Econometrics | en_US |
| dc.type (資料類型) | article | en |
