APPLİCATİON OF EXPERT EVALUATİON FOR PROCESSİNG OF RECONNAİSSANCE DATA
In the paper there have been considered a methodology of expert selection uppon the personal characteristics, the survey and processing of expert evaluation results for application of expert evaluation in processing of reconnaissance data. The selection of reconnaissance expert has been offered to c...
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Veröffentlicht in: | Sučasnì ìnformacìjnì tehnologìï u sferì bezpeki ta oboroni 2019-09, Vol.35 (2), p.71-76 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | In the paper there have been considered a methodology of expert selection uppon the personal characteristics, the survey and processing of expert evaluation results for application of expert evaluation in processing of reconnaissance data. The selection of reconnaissance expert has been offered to carry out taking into account of personal characteristics of experts in this area and to use for evaluation of gotten reconnaissance data during data processing. The method of quantitative processing and calculation of entropy of the results of expert evaluation has been offered. The method of determination of the competence level of reconnaissance groups. The selection of reconnaissance experts taking into account a number of personal characteristics of experts has been offered to carry out upon determination of the factor of quantitative personal characteristics. The characteristics of expert group have been determined based on personal characteristics of separate experts: competence, creativeness and attitude to expert examination, conformism, thinking constructiveness, team spirit and self-criticism. The expert evaluation, which must considered when processing of reconnaissance data, will influence on the level of trustworthiness of these data and, thereby, will provided increasing of effectiveness of the results of reconnaissance data processing. The working model of application of the method of selection of reconnaissance experts based on offered quantitative personal characteristics has been considered. The offered methodology can provide better grounded, objective and qualitative selection of reconnaissance experts. |
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ISSN: | 2311-7249 2410-7336 |
DOI: | 10.33099/2311-7249/2019-35-2-71-76 |