Please use this identifier to cite or link to this item: https://ah.nccu.edu.tw/handle/140.119/76550


Title: On testing hypothesis of fuzzy sample mean
Authors: Wu, Berlin;Chang, Shu Kwang
吳柏林
Contributors: 應數系
Date: 2007-06
Issue Date: 2015-07-13 17:11:58 (UTC+8)
Abstract: 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.
Relation: Japan Journal of Industrial and Applied Mathematics, 24(2), 197-209
Data Type: article
DOI 連結: http://dx.doi.org/10.1007/BF03167532
Appears in Collections:[應用數學系] 期刊論文

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