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  • 标题:A Reasonable Test of Expert's Experimental Data
  • 本地全文:下载
  • 作者:Junjie Xu ; Guoqiang Tang ; Yun Wei
  • 期刊名称:International Journal of Information and Communication Technology Research
  • 电子版ISSN:2223-4985
  • 出版年度:2012
  • 卷号:2
  • 期号:4
  • 出版社:IRPN Publishers
  • 摘要:Uncertain statistics is a methodology for collecting and interpreting expert's experimental data by uncertainty theory. And when we collecting the expert's experimental data, the expert's data will maybe affected by psychological factors. In this paper, we are giving a rationality test of expert's 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.
  • 关键词:uncertainty theory; uncertain statistics; reasonable test; Wang-Gao-Guo method
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