Abstract:

Information flows within the organization are often characterized by a low degree of formalization and different kinds of uncertainties. Fuzzy expert systems are widely used for the processing of expert opinions under condition of uncertainty but have a significant disadvantage – high level of subjectivity. Models of adaptive neuro-fuzzy expert system may be effectively used to decrease the level of subjectivity. Subject of research is the construction of expert system, which allows to optimize the planning of the labor intensity and scheduling and also has the ability to further training and adaptation in accordance with the newly emerging actual results of production activity of the company.