ANALYSIS AND COMPARISON OF EXISTING DECISION SUPPORT TECHNOLOGY
Abstract
The article presents the results of an analytical review and comparison of the most common managerial decision support technologies: the analytic hierarchy method, neural networks, fuzzy set theory, genetic algorithms and neural-fuzzy modeling. The advantages and disadvantages of these approaches are shown. Determine the scope of their application. It is shown that the hierarchy analysis method works well with the full initial information, but due to the need for expert comparison of alternatives and the selection of evaluation criteria has a high proportion of subjectivity. For problems in the conditions of risk and uncertainty prediction seems reasonable use of the theory of fuzzy sets and neural networks. It is also considered technology collective decision applied both in the general election, and the group of experts. It reduces the time for conciliation meetings to reach a consensus by the preliminary analysis of all views submitted for the plane in the form of points. At the same time the consistency of opinion is determined by the distance between them.
About the Authors
V. A. Rybak
Belarusian National Technical University
Belarus
Rybak V. A. Associate Professor, PhD in Engineering
Belarus
Rybak V. A. Associate Professor, PhD in Engineering
Ahmad Shokr
Belarusian National Technical University
Belarus
Belarus
Shokr Ahmad - Postgraduate
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Review
For citations:
Rybak V.A., Shokr A. ANALYSIS AND COMPARISON OF EXISTING DECISION SUPPORT TECHNOLOGY. «System analysis and applied information science». 2016;(3):12-18. (In Russ.)
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