Skip to main content
Log in

Expert Methods to Analyze and Perfect Management Systems

  • Published:
Automation and Remote Control Aims and scope Submit manuscript

Abstract

The paper is devoted to a boundary problem concerned with consulting and examination methods mostly for organizational and socio-economic systems. Appreciably complicated dynamics and opacity of the economic and administrative relations hinder acquisition of objective data and, consequently, application of formal methods of modeling and forecasting. In such an environment, expert information plays a leading part. Methods of examination, elicitation, and processing of expert estimates were given brush treatment. When applied to the organizational and socio-economic systems, the traditional methods of examination in actual fact do not work. The main causes for this were identified. A methodology of “collective multi-variant examination” and methods and procedures to realize it were developed.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

REFERENCES

  1. Larichev, O.I., Mechitov, A.I., et al., Vyyavlenie ekspertnykh znanii (Elicitation of Expert Knowledge), Moscow: Nauka, 1989.

    Google Scholar 

  2. Mnogokriterial'nye zadachi prinyatiya reshenii (Multicriteria Decion Making Problems), Gvishiani, D.M. and Emel'yanov, S.V., Eds., Moscow: Nauka, 1988.

    Google Scholar 

  3. Pankova, L.A., Petrovskii, A.M., and Shneiderman, M.V., Organizatsiya ekspertizy i analiz ekspertnoi informatsii (Organization of Examination and Analysis of Expert Information), Moscow: Nauka, 1984.

    Google Scholar 

  4. Tyurin, Yu.N., On Mathematical Problems in Expert Estimates, in Ekspertnye otsenki (Expert Estimates), Moscow: Nauchnyi Sovet po Kompleksnoi Probleme "Kibernetika", 1979, pp. 174–182.

    Google Scholar 

  5. Borodkin, A.M., Borodkin, S.M., and Shneiderman, M.V., System for Processing Expert Estimates of Scienti_c Papers, in Metody i algoritmy analiza empiricheskikh dannykh (Methods and Algorithms of Analysis of Empitical Data), Moscow: Inst. Probl. Upravlen., 1988, pp. 48–53.

    Google Scholar 

  6. Dressler, F., Subjective Methodology in Forecasting, Technol.Forecast. Soc. Change, 1972, vol. 3, no. 4, pp. 265–291.

    Google Scholar 

  7. Janis, I.L., Victims of Groupthink: A Psychological Study of Foreign Policy Decisions and Fiascoes, Boston: Houghton-Mi_in, 1972.

    Google Scholar 

  8. Rohlt, I.J., Methods of Comparison Classi_cation, Ann. Rev. Ecol. Syst., 1974, vol. 5, pp. 101–113.

    Google Scholar 

  9. Dorofeyuk, A.A., Methods of Organizing and Conducting Examination in Organizational Systems, Materialy 1-go Vsesoyuznogo soveshchaniya po statisticheskomu i diskretnomu analizu nechislovoi informatsii, ekspertnym otsenkam i diskretnoi optimizatsii (Proc. First All-Union Conf. on Statistical and Discrete Analysis of Nonnumerical Information, Expert Estimates, and Discrete Optimization), Alma-Ata, 1991, pp. 155–156.

  10. Orlov, A.I., Ustoichivost' v sotsial'no-ekonomicheskikh modelyakh (Stability in Socio-economic Models), Moscow: Nauka, 1979.

    Google Scholar 

  11. Aizerman, M.A. and Aleskerov, F.T., Vybor variantov. Osnovy teorii (Choice of Variants. Fundamentals of Theory), Moscow: Nauka, 1990.

    Google Scholar 

  12. Dorofeyuk, A.A. and Chernyavskii, A.L., Consulting Perfection of Management in Organizational Systems (Methodological Basis), in Metody i algoritmy analiza empiricheskikh dannykh (Methods and Al-gorithms of Analysis of Emprirical Data), Moscow: Inst. Probl. Upravlen., 1988.

    Google Scholar 

  13. Chernyavskii, A.L., Numerical Methods of Studying Organizational Systems. I, II, Avtom. Telemekh., 1988, nos. 2, 3.

  14. Bauman, E.V. and Dorofeyuk, A.A., Classi_cation Analysis of Data, in Izbrannye trudy Mezhdunarodnoi konferentsii po problemam upravleniya (Selected Papers Int. Conf. on Control Problems), Moscow: SINTEG, 1999.

    Google Scholar 

  15. Braverman, E.M. and Muchnik, I.B., Strukturnye metody obrabotki empiricheskikh dannykh (Structural Methods of Empirical Data Processing), Moscow: Nauka, 1983.

    Google Scholar 

  16. Basaker, R. and Saati, T., Konechnye grafy i seti (Finite Graphs and Networks), Moscow: Nauka, 1974.

    Google Scholar 

  17. Braverman, E.M., Dorofeyuk, A.A., Lumel'skii, V.Ya., and Muchnik, I.B., Connection Matrix Diagonalization and Extraction of Hidden Factors, in Problemy rasshireniya vozmozhnostei avtomatov (Problems of Extending Possibilities of Automata), Moscow: Inst. Probl. Upravlen., 1971, vol. 1.

    Google Scholar 

  18. Dorofeyuk, A.A. and Katsyv, P.D., Method of Multi-variant Examination in the Problem of Improving the Management System of Bus Passenger Transportation in a Large Region, in Proc. Conf. "Integrated Enterprise Management Systems", Moscow: Inst. Probl. Upravlen., 1996, pp. 100–102.

    Google Scholar 

  19. Chernyavskii, A.L. and Katsyv, P.D., Methods of Multi-variant Examination in the Problem of Improving Management of Passenger Transportation, in Proc. Int. Conf. "Intelligent Information Processing", Alushta, 2002.

  20. Bauman, E.V., Dorofeyuk, A.A., Chernyavskii, A.L., and Medik, V.A., Classi_cation Methods in Analytical Problems of Regional Management, in Proc. Trapeznikov Inst. Control Sciences, Moscow: Inst. Probl. Upravlen., 2000, vol. X, pp. 38, 39.

    Google Scholar 

  21. Dorofeyuk, A.A., Lai'kam, K.E., and Chernyavskii, A.L., Minimum Labor Remuneration as a Tool of Socio-economic Policy, in Theory of Active Systems. Proc. Int. Conf., Moscow: Inst. Probl. Upravlen., 2003, vol. 1, pp. 100–102.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Dorofeyuk, A.A., Pokrovskaya, I.V. & Chernyavkii, A.L. Expert Methods to Analyze and Perfect Management Systems. Automation and Remote Control 65, 1675–1688 (2004). https://doi.org/10.1023/B:AURC.0000044276.99273.a0

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/B:AURC.0000044276.99273.a0

Keywords

Navigation