Акмеологический анализ ошибок экспертной процедуры с применением метода оценки степени доверия к эксперту
Работая с нашим сайтом, вы даете свое согласие на использование файлов cookie. Это необходимо для нормального функционирования сайта, показа целевой рекламы и анализа трафика. Статистика использования сайта отправляется в «Яндекс» и «Google»
Научный журнал Моделирование, оптимизация и информационные технологииThe scientific journal Modeling, Optimization and Information Technology
Online media
issn 2310-6018

Acmeological analysis of expert procedure errors using the method of assessing the degree of confidence in an expert

idGostyunina V.A.

UDC 004:007.51
DOI: 10.26102/2310-6018/2020.30.3.002

  • Abstract
  • List of references
  • About authors

Expert assessment in modern conditions plays an increasingly important role. There are problems when accurate calculations are not applicable to assess, select and justify decisions. In such cases, expert methods are used. The proposed method for assessing the degree of trust in an expert takes into account the reputation of the expert as a long-term indicator of the quality of his examination, and the value of feedback as a short-term indicator of the state of the expert. Together, these 2 indicators make it possible to calculate the expert confidence coefficient. Using the described method, an expert procedure is carried out. However, errors in conducting expert procedures cast doubt on the accuracy of the results of the examination. Therefore, the analysis of such errors is a necessary step to test the feasibility of practical application of the proposed new solutions and methods in the framework of expert procedures. The article carried out an acmeological analysis of the errors of the expert procedure using the method of assessing the degree of confidence in the expert.Methodological, technological, technical, psychological, organizational, regulatory and other types of errors in the performance of expert assessments are considered. The article provides examples of identifying various kinds of errors in the described expert procedure. A reasonable explanation is given of the options for eliminating most common errors.

1. Gostyunina V.A., Davidyuk N.V., Davidyuk V.V., Baitumenov A.Z. The procedure for assessing the degree of trust in an expert using the example of the task of age categorization of web content. Bulletin of the Astrakhan State Technical University. Series: Management, Computing and Informatics. 2019;2:86-97. (In Russ)

2. Gostyunina V.A., Davidyuk N.V. Reputation network model for age categorization of Internet resources. TRIS Information Systems Development Technologies - 2019: Conference Materials. - Taganrog: Publishing house of SFU. 2019;2:100-105. (In Russ)

3. Zazykin V.G. A brief acmeological dictionary. National Psychological Encyclopedia. Available at: http://vocabulary.ru//dictionary/870/word/kompetentnostpsihologicheskaja (accessed: 04.20.2020). (In Russ)

4. Davidyuk N.V., Baitumenov A.Z., Gostyunina V.A. Determining the degree of trust in an expert based on a system of assessment indicators in information security tasks. Student science for the development of the information society: a collection of materials of the X All-Russian scientific. tech. conferences with international participation. - Stavropol: Publishing house of SKFU. 2019;1:45-52. (In Russ)

5. Kirichenko A.V., Barlozhetskaya N.F. Acmeological analysis of the causes of errors of expert assessment of professional activity. Acmeology. 2013;1(45). Available at: https://cyberleninka.ru/article/n/akmeologicheskiy-analiz-prichin-oshibok-ekspertnoyotsenki-professionalnoy-deyatelnosti (accessed: 04.20.2020). (In Russ)

6. Litvak B.G. Expert assessments and decision making. Theory of decision making. Tutorial. A.I. Orlov. -M.: Publishing house "Exam". 2005. (In Russ)

7. Gubanov D.A. Review of online reputation/trust systems. Internet conference on management issues. -M.: IPU RAS. 2009. (In Russ)

8. Gostyunina V.A., Davidyuk N.V. Formation of age-related assessment of web content based on decision tree. Mathematical methods in engineering and technology - MMTT. 2019;6:49-52. (In Russ)

9. Davidyuk N.V. Methodology for assessing the required level of security of information resources of automated information processing and control systems. Scientific Bulletin of the Novosibirsk State Technical University. 2016;4(65):100-109. (In Russ).

10. Zolotarev P.A., Gostyunina V.A., Gurskaya T.G. Development of a decision support system for age classification sites to protect children from destructive information. Actual issues of natural science: materials of the IV All-Russian scientific and practical conference with international participation, Ivanovo, March 25, 2019. - Ivanovo: FSBEI HE Ivanovo Fire and Rescue Academy of the State Fire Service of the Ministry of Emergencies of Russia, 2019. (In Russ)

11. Popov G.A., Popova E.A. An alternative variant of the coefficient of concordance. Bulletin of ASTU. Series: Management, Computing and Informatics. 2013;2. Available at: https://cyberleninka.ru/article/n/alternativnyy-variant-koeffitsienta-konkordatsii (accessed: 04.14.2020). (In Russ)

12. Davidyuk N.V. Development of a decision support system to ensure the physical security of facilities. The dissertation for the degree of candidate of technical sciences. - Astrakhan. Astrakhan State Technical University. 2010. (In Russ)

13. Petrosyan E.R. Competence of experts. Academy of Standardization Metrology and Certification. 2013. (In Russ)

14. Fedorovsky A.M. The quality of online surveys. Verification Methods. Public Opinion Monitoring: Economic and Social Change. 2015. (In Russ)

Gostyunina Valeria Andreevna

Email: lerusya93@list.ru


Federal State Budgetary Educational Institution Of Higher Education “Astrakhan State Technical University”

Astrakhan, Russian Federation

Keywords: acmeological analysis, expert procedure, expert assessment, trust in an expert, reputation, reputation system

For citation: Gostyunina V.A. Acmeological analysis of expert procedure errors using the method of assessing the degree of confidence in an expert. Modeling, Optimization and Information Technology. 2020;8(3). Available from: https://moit.vivt.ru/wp-content/uploads/2020/08/Gostyunina_3_20_1.pdf DOI: 10.26102/2310-6018/2020.30.3.002 (In Russ).


Full text in PDF