學術產出-Periodical Articles

Article View/Open

Publication Export

Google ScholarTM

政大圖書館

Citation Infomation

題名 Innovative Correlation Coefficient Measurement with Fuzzy Data
作者 吳柏林
Wu, Berlin
Hung, Chin Feng
貢獻者 應數系
關鍵詞 Engineering; Mathematical techniques; Correlation coefficient; Crisp data; Empirical studies; Fuzzy data; Fuzzy interval; Pearson`s correlation coefficients; Correlation methods
日期 2016
上傳時間 15-Sep-2017 16:10:43 (UTC+8)
摘要 Correlation coefficients are commonly found with crisp data. In this paper, we use Pearson`s correlation coefficient and propose a method for evaluating correlation coefficients for fuzzy interval data. Our empirical studies involve the relationship between mathematics achievement and other projects.
關聯 Mathematical Problems in Engineering, 2016, Article ID 9094832
資料類型 article
DOI http://dx.doi.org/10.1155/2016/9094832
dc.contributor 應數系zh_TW
dc.creator (作者) 吳柏林zh_TW
dc.creator (作者) Wu, Berlinen_US
dc.creator (作者) Hung, Chin Fengen_US
dc.date (日期) 2016
dc.date.accessioned 15-Sep-2017 16:10:43 (UTC+8)-
dc.date.available 15-Sep-2017 16:10:43 (UTC+8)-
dc.date.issued (上傳時間) 15-Sep-2017 16:10:43 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/113061-
dc.description.abstract (摘要) Correlation coefficients are commonly found with crisp data. In this paper, we use Pearson`s correlation coefficient and propose a method for evaluating correlation coefficients for fuzzy interval data. Our empirical studies involve the relationship between mathematics achievement and other projects.en_US
dc.format.extent 2918501 bytes-
dc.format.mimetype application/pdf-
dc.relation (關聯) Mathematical Problems in Engineering, 2016, Article ID 9094832en_US
dc.subject (關鍵詞) Engineering; Mathematical techniques; Correlation coefficient; Crisp data; Empirical studies; Fuzzy data; Fuzzy interval; Pearson`s correlation coefficients; Correlation methodsen_US
dc.title (題名) Innovative Correlation Coefficient Measurement with Fuzzy Dataen_US
dc.type (資料類型) article
dc.identifier.doi (DOI) 10.1155/2016/9094832
dc.doi.uri (DOI) http://dx.doi.org/10.1155/2016/9094832