Please use this identifier to cite or link to this item: https://ah.nccu.edu.tw/handle/140.119/76762


Title: Tests of hypothesis: Means
Authors: Nguyen, H.T.
吳柏林
Wu, Berlin
Contributors: 應數系
Date: 2006
Issue Date: 2015-07-21 15:29:31 (UTC+8)
Abstract: In many expositions of fuzzy methods, fuzzy techniques are described as an alternative to a more traditional statistical approach. In this chapter, we present a class of fuzzy statistical decision processes in which hypothesis testing can be naturally reformulated in terms of interval-valued statistics. We provide the definitions of fuzzy mean, fuzzy distance as well as investigating 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. © Springer-Verlag Berlin Heidelberg 2006.
Relation: Studies in Fuzziness and Soft Computing, 198, 129-144
Data Type: article
DOI 連結: http://dx.doi.org/10.1007/11353492_8
Appears in Collections:[應用數學系] 期刊論文

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