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articles

The author: Kravchenko T.     Published in № 1(67) 27 february 2017 year
Rubric: Decision support systems

Decision support system «ELECTRE»

Problem statement: solutions analytical justification by using a decision support system (DSS) significantly increases the quality of decisions. The existing DSS generally employs methods analytic hierarchy process and analytical networks. It does not always lead to the desired results as each method is based on certain assumptions and is not universal. The creation of the DSS, including ELECTRE collection methods, will allow to obtain additional information about the relative importance of different variants of the solution for the task. Methodological basis for the creation the DSS «ELECTRE»: the family of ELECTRE methods, which include ELECTRE I, ELECTRE Iv, ELECTRE IS, ELECTRE II, ELECTRE III and others. Their key feature consists in the fact that they do not use the convolution operation of evaluation of the alternatives specified in different scales on different criteria. Results: developed software of DSS «ELECTRE», allowing to use any of the methods of this family to select the preferred alternatives based on multiple criteria and evaluations of their relative importance. Practical relevance: unlike other developments, the research results allow to analytically justify solutions using a variety of methods of collection in one software environment.

Key words

ELECTRE family methods, decision support system «ELECTRE» Expert Decision Support System (EDSS), the task of choosing a platform for business intelligence for the enterprise.

The author:

Kravchenko T.

Degree:

Dr of Economics, Professor, Department of Business Analytics, National Research University «Higher School of Economics»

Location:

Moscow