International Journal of Information and Communication Technology Research

International Journal of Information and Communication Technology Research>> Call for Papers(CFP)>>Volume 7, Number 2, February 2017

International Journal of Information and Communication Technology Research


A Reasonable Test of Expertís Experimental Data

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Author(s) Junjie Xu, Guoqiang Tang, Yun Wei
On Pages 395-401
Volume No. 2
Issue No. 4
Issue Date April, 2012
Publishing Date April, 2012
Keywords uncertainty theory; uncertain statistics; reasonable test; Wang-Gao-Guo method



Abstract

Uncertain statistics is a methodology for collecting and interpreting expertís experimental data by uncertainty theory. And when we collecting the expertís experimental data, the expertís data will maybe affected by psychological factors. In this paper, we are giving a rationality test of expertís experimental data on linear uncertainty distribution of the uncertainty statistics. The testing divided into two parts, one part of testing is to eliminate significant unreasonable data, and the other part is to adjust unreasonable data.

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