To the question on the possibilities of transfer of the tools of fuzzy sets theory for information and analysis support of logistics management

Managing the logistical systems of industrial enterprises is based on the use of quite heterogeneous not always certain information. The presence of different types of uncertainty in a complex hierarchical system of logistic management of industrial enterprises provides the basis for analytical support of managerial decisions on the basis of fuzzy sets theory. The use of fuzzy set theory allows us to bring together and to adequately take into account all the necessary variety of information. The information about the functioning of the logistics system should be submitted in a specific form of membership functions. The article proves the fact that the tools of the theory of fuzzy sets can be applied to describe the parameters of the logistic system of industrial enterprises and support decisions in the field of logistics management. Within the system of information and analysis support of logistics management of industrial enterprises are encouraged to use the toolkit for definition fuzzy set image and its variation that is “definition of subdirect fuzzy set image” to select combinations of key performance indicators of logistics management in the best way that meets the given set of criteria. The use of fuzzy set theory also helps to determine the fuzzy values of the factors, the impact of which the logistics system of the company has received available set of features. To analyze factors which affect the key performance indicators of logistics management industrial enterprises it is proposed to use the toolkit of determining the type of a fuzzy set under a fuzzy binary relation.