APPLICATION OF CLUSTER ANALYSIS METHODS TO EVALUATE UNCOORDINATED EXPERT INFORMATION

Authors

  • Юлия Викторовна Ульяновская Academy of Customs Service of Ukraine str. Dzerzhinsky, 2/4, Dnepropetrovsk, Ukraine, 49000, Ukraine

DOI:

https://doi.org/10.15587/1729-4061.2012.4522

Keywords:

expert opinions, uncoordinated information, clustering.

Abstract

The article concerns the application of cluster analysis for expert opinions processing. The problem class, where expert opinions are used, is rather wide. Thereafter, many methods of expert information are developed. However, the problem of processing of uncoordinated expert information has not been examined enough. In particular, there are problems of definition of experts’ group opinion, consistency of experts’ opinions. There are no ranking methods of uncoordinated alternatives. Application of classic methods of probability theory and mathematical statistics to solve the problems does not always provide appropriate results. Therefore, to determine the general opinion of expert group, it is suggested to use the methods of cluster analysis. It was shown that the application of different methods provides various results. Disambiguation is possible by assessment of experts’ competence. Graphical representation of expert opinions is suggested. The research results can be used in intelligence systems, making decisions based on the analysis of uncoordinated expert information.

Author Biography

Юлия Викторовна Ульяновская, Academy of Customs Service of Ukraine str. Dzerzhinsky, 2/4, Dnepropetrovsk, Ukraine, 49000

PhD, Associate Professor

Department of Information Systems and Technology

References

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Published

2012-10-09

How to Cite

Ульяновская, Ю. В. (2012). APPLICATION OF CLUSTER ANALYSIS METHODS TO EVALUATE UNCOORDINATED EXPERT INFORMATION. Eastern-European Journal of Enterprise Technologies, 5(4(59), 21–24. https://doi.org/10.15587/1729-4061.2012.4522

Issue

Section

Mathematics and Cybernetics - applied aspects