ВЫЧИСЛИТЕЛЬНЫЕ СИСТЕМЫ И СЕТИ
ПРОГРАММНЫЕ СИСТЕМЫ
МАТЕМАТИЧЕСКОЕ МОДЕЛИРОВАНИЕ И АНАЛИЗ ДАННЫХ
ЭКСПЕРТНЫЕ СИСТЕМЫ
А.А. Дорофеюк, М.Д. Гольдовская, Н.Е. Киселева, И.В. Покровская, А.Г. Спиро, А.Л. Чернявский "Процедуры коллективной многовариантной экспертизы в задачах анализа и совершенствования социальноэкономических систем"
ИНТЕЛЛЕКТУАЛЬНЫЕ СИСТЕМЫ
ПРИКЛАДНЫЕ АСПЕКТЫ ИНФОРМАТИКИ
А.А. Дорофеюк, М.Д. Гольдовская, Н.Е. Киселева, И.В. Покровская, А.Г. Спиро, А.Л. Чернявский "Процедуры коллективной многовариантной экспертизы в задачах анализа и совершенствования социальноэкономических систем"

Аннотация.

Одним из инструментов решения плохо формализуемых задач является экспертиза, при этом основным источником информации являются специалисты – эксперты. Проведение экспертизы для анализа и реформирования слабо формализованных систем (в основном, – социально-экономических и организационных) имеет ряд особенностей, затрудняющих использование классических методов экспертизы. Работа посвящена описанию нового класса методов экспертизы – коллективной многовариантной экспертизы, а также специфики их применения при решении прикладных задач.

Ключевые слова:

коллективная многовариантная экспертиза (КМВЭ), экспертные комиссии, условная компетентность экспертов, процедура перекрёстной экспертизы, независимая многовариантная экспертиза (НМВЭ), итерационная оценка компетентности эксперта, методы коллективной экспертизы при решении прикладных задач.

Стр. 53-68.

A.A. Dorofeyuk, M.D. Goldovskaya, N.E. Kiseleva, I.V. Pokrovskaya, A.G. Spiro, A.L. Chernyavsky
"The collective multivariate expertise procedures in the analysis and improvement of socio-economic control systems problems"

Abstract. One of the tools for solving ill-formalizable problems is the expertise, in this case the experts are the main sources of information. Expertise for analysis and reform of weakly formalized systems (mainly social-economic and organizational) has a number of features that impede the use of classical expertise methods. The paper is devoted to the description of a new expertise methods class – the collective multivariate expertise, as well as the specifics of their use in the applied problems solution.

Keywords: collective multivariate expertise (CMVA), expert commission, conditional experts competence, cross-examination procedure, independent multivariate expertise (IMVE), iterative expert's competence estimation, collective expertise methods in the applied problems solution.

REFERENCES

1. Pankova L.A., Petrovsky A.M., Schneiderman, M.V. Expertise organization and expert information analysis. -M.: “Nauka”, 1984. (in Russian)
2. Dorofeyuk A.A., Pokrovskaya I.V., Chernyavsky A.L. Expert analysis methods and control systems improvement. // Automation and remote control. 2004, No. 10. -pp. 172 – 188. (in Russian)
3. Pokrovskaya I.V., Goldovskaya M. D., Kiseleva N.E. Multivariate expertise methods in the decision support problems for socio-economic management systems. / Large-scale systems development control (MLSD’2012): Proceedings of the Sixth international conference. Vol. I. -M.: IPU RAS, 2012. - pp. 322- 324. (in Russian)
4. Dorofeyuk A.A., Chernyavsky A.L. Consulting for organizational systems control improving (methodological foundations). / Scientific collection: “Data analysis methods and algorithms”. -M.: IPU RAS, 1988. (in Russian)
5. Chernyavsky A.L. Quantitative methods for organizational systems research. I, II. / Automation and remote control. 1988. No. 2, 3. (in Russian)
6. Chernyavsky A.L., Dorofeyuk A.A., Kul'kova, G.V. Algorithms of expert classification applied in the analysis of the objectives of the study socio-economic systems management. / Large-scale systems development control (MLSD’2011): Proceedings of the Fifth international conference. Vol. I. -M.: IPU RAS, 2011. – pp. 66-69. (in Russian)
7. Dorofeyuk, J.A., Pokrovskaya I.V., Kiseleva N.E. A set of mining algorithms highly organized data in the study of weakly formalized management systems. / Machine learning and data analysis. 2014. Vol. 1, No. 10. -pp. 1423-1438. (in Russian)
8. Bakker R., Saaty T. Finite graphs and networks. / -M.: “Nauka”, 1974. (in Russian)
9. Braverman E.M., Dorofeyuk A.A., Lumelsky V.Ja., Muchnik I.B. The objects proximity matrix diagonalization and hidden factors selection. / Scientific collection: “The machines capabilities expanding problem”. -M.: IAT. Vol.1, 1971. (in Russian)
10. Dorofeyuk, A.A., Dorofeyuk J.A., Pokrovskaya I.V., Chernyavsky A.L. Independent multivariate expertise method and its applied problems solving used. / Large-scale systems development control (MLSD’2013): Proceedings of the Seventh international conference. Vol. 1. – M.: ICS RAS, 2013. – pp. 260-271. (in Russian)
11. E.S. Wentzel Probability theory. 4-th edition. / -M.: “Nauka” . 1969, - 576 p. (in Russian)
12. Bol'shev L.N., Smirnov N.V. Mathematical statistics tables. –M.: "Nauka. Fizmatlit”, 1983. - 416 p. (in Russian)
13. Chernyavsky A.L., Katsyv P.D. Multivariate expertise methods in the passenger management improving  problems. / Artificial intelligence, 2012, No. 2. –pp. 568-574. (in Russian)
14. Bauman E.V., Dorofeyuk A.A., Chernyavsky A.L., Medik V.A. Classification methods in the regional health management analytical problems. / Proceedings of the Institute of Control Sciences RAS. –M.: ICS RAS. 2012. -pp. 38-43. (in Russian)
15. Dorofeyuk, A.A., Laykam K.Em., Chernyavsky A.L. Minimum salary (MSLS) as a tool for socio-economic policy.// “The theory of active systems”: Proceedings of the international scientific-practical conference. Vol. 1. -M: ICS RAS, 2013. -pp. 100-102. (in Russian)
16. A.L. Chernyavsky, N.E. Kiseleva, I.V. Pokrovskaya Building the socio-economic regions development integrated assessment. / Materials of the conference "Control in technical, ergatic, organizational and network systems" (UTEOS-2012). – SPb.: "CRI Electropribor”, 2012. – pp. 1121-1125. (in Russian)
17. Mandel A.S., Dorofeyuk A.A., Chernyavsky A. L., Lifshitz, D. V. Evaluate effectiveness and support decision making expert-classification methods for the Moscow mega polis housing and communal services management problems. / Tavrichesky Bulletin of Informatics and Mathematics. 2012. No. 2. –pp. 42-48. (in Russian)
18. Mandel A.S., Dorofeyuk A.A., Chernyavsky A.L., Nikitin V.V., Maltseva S.V. Classification algorithms for the professional activity objects aggregation in the professional and educational standards formation. / Tavrichesky Bulletin of Informatics and Mathematics. 2008. No. 2. –p. 49-58. (in Russian)
19. Dorofeyuk Julia, Dorofeyuk Alexander, Pokrovskaya Irina The Expert-Analytical Forecasting Model in the Problem of Railway Track Facilities Control. / Preprints of 2013 IFAC Conference on Manufacturing Modeling, Management, and Control (IFAC MIM ‘2013, Saint Petersburg). -Saint Petersburg – Moscow: ICS RAS PH, 2013, -pp. 1866-1871.
20. Mandel A.S., Dorofeyuk A.A., Dorofeyuk J.A., Chernyavsky A.L. The expert-classification data analysis methods application to forecast railroad track condition and repair work planning / Materials of the 6th all-Russian multyconference (MCCP-2013). Conference "Management of intellectual, ergonomics, and organizational systems (MIEOS-2013)". -Rostov n/D: Publishing house “Southern Federal University”, Vol. 3, 2013. -pp. 148-153. (in Russian)
21. Desova A.A., Guchuk V.V. and Dorofeyuk A.A. A new approach to pulse signal rhythmic structure analysis. / Int. J. Biomedical Engineering and Technology, Vol. 14, No. 2, 2014. -pp.148–158.
22. Guchuk V.V., Desova A.A., Dorofeyuk A.A., Anokhin A.M. Biosignals expert classification characteristics objectification procedure for medical diagnostic systems. / Sensors and systems, No. 2, 2014. -pp. 2-7. (in Russian)
23. A.L. Chernyavsky, A.A. Ahohov, N. A. Bloodyan, I.V. Pokrovskaya The interregional bus transportation "Moscow – North Caucasus Federal District" circuit control development on the basis of independent multivariate expertise. / Large-scale systems development control (MLSD’2013): Proceedings of the Seventh international conference, Vol. 2. – M.: ICS RAS, 2013. – pp. 170-173. (in Russian)
24. Dorofeyuk A.A., Potapov A.A., Chernyavsky A.L., Shifrin M.A. Creating a patient-oriented intelligent control system of medical-diagnostic and treatment processes in a large medical facility. / Large-scale systems development control (MLSD’2013): Proceedings of the Seventh international conference, Vol. 2. – M.: ICS RAS, 2013. – pp. 402-405. (in Russian)

 

2017 / 01
2016 / 04
2016 / 03
2016 / 02

© ФИЦ ИУ РАН 2008-2016. Создание сайта "РосИнтернет технологии".