Information technology of ranking of expert estimates on the basis of the theory of evidence

Authors

  • Игорь Иванович Коваленко Admiral Makarov National University of Shipbuilding Geroyiv Stalingrada 9, Mykolayiv, 54025, Ukraine
  • Алёна Владимировна Швед Petro Mohyla Black Sea State University 68 Desantnukiv, 10, Mykolayiv, 54003, Ukraine

DOI:

https://doi.org/10.15587/1729-4061.2012.5346

Keywords:

expert estimates, ranking, Dempster-Shafer theory, combination rule

Abstract

The article concerns the use of modern theories for the analysis of expert information. The results of our research in this area are presented. The main purpose of research is the development of techniques of analysis and aggregation of group expert estimates to solve the problems of ranking. The use of modern approaches of analysis of expert information allows us to take into consideration the forms of interaction of expert judgments, and some specific types of uncertainty, in the frameworks of which the experts’ estimates were formed. This article considers the technology of expert information processing on the basis of methods of mathematical theory of evidence, taking into account alternative techniques of evidence combining.The suggested technique allows to identify and analyze and only relevant alternatives or groups of alternatives. It can significantly reduce the time of the examination, and increase the efficiency of obtained expert information. We suggest the use of the technology for the formation of the collective opinion of an expert group in the case of inaccurate and incomplete expert information. The considered approach suggests new possibilities for the creation of information technologies of expert estimates structuring under conditions of uncertainty, which can be the basis of an automated decision-making support system

Author Biographies

Игорь Иванович Коваленко, Admiral Makarov National University of Shipbuilding Geroyiv Stalingrada 9, Mykolayiv, 54025

Professor

Department of Software for Automation System

Алёна Владимировна Швед, Petro Mohyla Black Sea State University 68 Desantnukiv, 10, Mykolayiv, 54003

Postgraduate

Department of Intellectual Informational Systems

References

  1. Shafer G. A mathematical theory of evidence. Princeton University Press, Princeton, 1976. 297 p.
  2. Dempster A.P. Upper and lower probabilities induced by a multi-valued mapping. Annals of Mathematical Statistics, 1967, vol. 38. pp. 325–339.
  3. Beynon M.J, Curry B., Morgan P. The Dempster-Shafer theory of evidence: an alternative approach to milticriteria decisionn modeling. Omega, 2000, vol. 28, № 1, pp. 37–50.
  4. Inagaki T. Interdepence between Safety-Control Policy and Multiple-Sensor Schemes Via Dempster-Shafer Theory. Transaction on Reliability, 1991, vol. 40, № 2, pp. 182–188.
  5. Yager R.R On the Dempster-Shafer framework and new combination rules. Information Science , 1987, vol. 41, № 2, pp. 93–137.
  6. Zhang L. Representation, independence and combination of evidence in the Dempster-Shafer Theory of Evidence. Advances in the Dempster-Shafer Theory of Evidence. John Wiley & Sons, 1994, pp. 51– 69.
  7. Zadeh L.A. Review of Shafer's "A mathematical theory of evidence". The AI Magazine, 1984, pp. 81–83.
  8. Sentz K., Ferson S. Combination of Evidence in Dempster-Shafer Theory. Sandia National Laboratories, Albuquerque, 2002. 94 p.

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Published

2012-12-07

How to Cite

Коваленко, И. И., & Швед, А. В. (2012). Information technology of ranking of expert estimates on the basis of the theory of evidence. Eastern-European Journal of Enterprise Technologies, 6(2(60), 70–74. https://doi.org/10.15587/1729-4061.2012.5346

Issue

Vol. 6 No. 2(60) (2012): Information technology

Section

Information technology

License

Copyright (c) 2014 Игорь Иванович Коваленко, Алёна Владимировна Швед

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