Please use this identifier to cite or link to this item:
https://ah.lib.nccu.edu.tw/handle/140.119/76550
題名: | On testing hypothesis of fuzzy sample mean | 作者: | Wu, Berlin;Chang, Shu Kwang 吳柏林 |
貢獻者: | 應數系 | 日期: | 六月-2007 | 上傳時間: | 13-七月-2015 | 摘要: | In many expositions of fuzzy methods, fuzzy techniques are described as an alternative to a more traditional statistical approach. In this paper, we present a class of fuzzy statistical decision process in which testing hypothesis can be naturally reformulated in terms of interval-valued statistics. We provide the definitions of fuzzy mean, fuzzy distance as well as investigation of their related properties. We also give some empirical examples to illustrate the techniques and to analyze fuzzy data. Empirical studies show that fuzzy hypothesis testing with soft computing for interval data are more realistic and reasonable in the social science research. Finally certain comments are suggested for the further studies. We hope that this reformation will make the corresponding fuzzy techniques more acceptable to researchers whose only experience is in using traditional statistical methods. | 關聯: | Japan Journal of Industrial and Applied Mathematics, 24(2), 197-209 | 資料類型: | article | DOI: | http://dx.doi.org/10.1007/BF03167532 |
Appears in Collections: | 期刊論文 |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
197-209.pdf | 819.89 kB | Adobe PDF2 | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.