Abstract: The subject of the study is to evaluate the effectiveness of assigning tasks in the automated systems of electronic document management on the basis of fuzzy methods of rational choice of alternatives. The object of the research is the problem of a rational choice of employee for the task based on qualifications, performance, workload as well as difficulty of the assignment. The paper focuses on three job assignment strategies:  based on the method of maximin convolution, additive convolutions and fuzzy-production model. Particular attention is paid to the software developed on the basis of the proposed methods. The authors present an example of its operation, as well as the results of studies evaluating the effectiveness of allocation tasks for the performers. As the methods of research authors used methods of fuzzy rational choice of alternatives: maximin convolution, additive convolutions and fuzzy-production model. These methods are used to assign tasks the automated systems of electronic document management. The main conclusions of the study are:
-          method based on fuzzy logic inference has shown the best results, most closely consistent with the intuitive representation of an expert on rational choice assignments performers;
-          maximin convolution method is a pessimistic approach, that does not take into account the good side of the alternatives;
-          method of additive convolution is an optimistic approach in which low scores on the criteria have the same weight as compared to the high marks that affected its low accuracy.
A special contribution to the authors of the study is in developing an effective fuzzy-productions tasks assignment model as well as the implementation of the software system for performing the necessary calculations to evaluate its effectiveness. This determines the scientific novelty and practical value of the study.