ADAPTATION OF ELECTRE FAMILY METHODS FOR THEIR INTEGRATION INTO THE EXPERT DECISION SUPPORT SYSTEM

Analytical justification of solutions using a decision support system (DSS) significantly increases the quality of decisions. The existing DSS generally employs 1or 2 methods of decision-making. It does not always lead to the desired results as each method is based on certain assumptions and is not universal. The maximum effect can be achieved only insofar as a set of decision making methods is included into the knowledge base of the DSS. The only system that meets these requirements is an Expert decision support system (EDSS) developed under supervision of the author. Currently the EDSS includes about 50 methods of decision making. The expansion of the EDSS knowledge base by including new methods will allow choosing the most suitable method for solving each decision-making task. Addition of the "decision table" model underlying the system knowledge base allows you to develop the EDSS without a complete reworking of the system code. The system knowledge base contains decision rules built on the principle of "if ... then ..." (if given some definite conditions of decision making, then a certain method of decisionmaking should be employed). To expand the knowledge base the EDSS selected ELECTRE collection methods. 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 individual criteria. This was the reason for selecting the methods of this family. In the article the algorithms of these methods are adapted for their inclusion in the EDSS. An algorithm for obtaining a criterion-alternative matrix is proposed. It serves as input information for the ELECTRE family methods in cases where there is no objective information for its formation. The results of the study can be used to develop the EDSS, allowing analytical justification of solutions using methods that were not previously used in the system.