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A Reasonable Test of Expert’s Experimental Data

ISSN 2223-4985
Journal from gdlhub / 2017-08-14 11:52:32
Oleh : Junjie Xu , Guoqiang Tang , Yun Wei , International Journal of Information and Communication Technology Research
Dibuat : 2012-06-23, dengan 1 file

Keyword : uncertainty theory; uncertain statistics; reasonable test; Wang-Gao-Guo method
Subjek : A Reasonable Test of Expert’s Experimental Data
Url : http://esjournals.org/journaloftechnology/archive/vol2no4/vol2no4_9.pdf
Sumber pengambilan dokumen : Internet

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.

Deskripsi Alternatif :

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.

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