KNOWLEDGE REPRESENTATION FOR FUZZY LOGIC RECRUITMENT SYSTEM
The problem relevance of data representation and processing for the fuzzy decision support recruitment system is substantiated. The methods of selection criteria linguistic representation in the designed system knowledge base the are considered. The criteria conversion methods to the corresponding numeric values are considered. Procedure for the formation of applicants evaluation individual system by each expert are selected. Local ranking criteria methods are selected. An algorithm for ranking the total set of criteria with regard to their local expertise and the frequency of use is proposed. The rule for choosing the best alternative based on the operation of intersection of fuzzy sets is described. The obtaining integrated assessment method for criteria that selected a few experts, is developed. Examples of processing the input fuzzy information by using one or several experts are submitted. Functional features of the designed system and the possibility of its use in related subject areas stated in conclusion.