| 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) | Hsu,Hui-Li | en_US |
| dc.date (日期) | 2010.03 | en_US |
| dc.date.accessioned | 11-Nov-2013 09:39:24 (UTC+8) | - |
| dc.date.available | 11-Nov-2013 09:39:24 (UTC+8) | - |
| dc.date.issued (上傳時間) | 11-Nov-2013 09:39:24 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/61559 | - |
| dc.description.abstract (摘要) | We usually use the correlation coefficient to observe the relation of two variables. But if the data are exhibited by a fuzzy type, such as interval data, instead of the real number data, the traditional methods for evaluating correlation coefficients do not work. In this paper, we propose an innovative approach to measure the correlation for variables when the data are in the form of intervals. Such the correlation coefficient interval will be called the fuzzy correlation coefficient. Finally two empirical studies are given to compare the traditional correlation coefficient and the fuzzy correlation coefficient. The results show that the fuzzy correlation coefficient can provides an efficient and creative measurement in the perception measurement. | en_US |
| dc.format.extent | 36962 bytes | - |
| dc.format.mimetype | application/pdf | - |
| dc.language.iso | en_US | - |
| dc.relation (關聯) | International Journal of Innovative Computing, Information and Control, 6(3) , 1049-1058 | en_US |
| dc.subject (關鍵詞) | Fuzzy correlation coefficient ; Interval data ; Fuzzy statistics | en_US |
| dc.title (題名) | An Innovative Approach on Fuzzy Correlation Coefficient with Interval Data | en_US |
| dc.type (資料類型) | article | en |
