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Journal of Automation and Information Sciences
SJR: 0.232 SNIP: 0.464 CiteScore™: 0.27

ISSN Druckformat: 1064-2315
ISSN Online: 2163-9337

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Journal of Automation and Information Sciences

DOI: 10.1615/JAutomatInfScien.v35.i1.40
12 pages

Experimental Research of Methods for Getting Cardinal Expert Estimates of Alternatives. Part 1. Methods without Expert Feedback

Vitaliy G. Totsenko
Institute of Information Recording Problems of National Academy of Sciences of Ukraine, Kyiv, Ukraine
Vitaliy V. Tsyganok
Institute of Information Recording Problems of National Academy of Sciences of Ukraine, Kyiv, Ukraine
Pyetr T. Kachanov
Institute of Information Recording Problems of National Academy of Sciences of Ukraine, Kyiv, Ukraine
Anatoliy A. Deyev
Institute of Information Recording Problems of National Academy of Sciences of Ukraine, Kyiv, Ukraine
Elena V. Kachanova
Institute of Information Recording Problems of National Academy of Sciences of Ukraine, Kyiv, Ukraine
Lyubov T. Torba
Institute of Information Recording Problems of National Academy of Sciences of Ukraine, Kyiv, Ukraine

ABSTRAKT

Results of experimental research of 11 methods for getting the cardinal expert estimates without expert feedback are represented. The following parameters of methods are determined: the consistency coefficient of estimates given by several experts, the mathematical expectation of relative error for relative objects weight determination, the mathematical expectation of time for getting estimates. The selection of objects under estimation are well-grounded, the methods analyzed and algorithms of processing the results are described. Results of experimental data processing are represented.


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