Zolotukhina O. Based on fuzzy logic information technology to resource supervising

The paper solves the actual scientific and applied task of increasing the accuracy of estimating the cost of resources by using information technology based on fuzzy logic. A generalized fuzzy infological model is developed by formalizing these processes of resource expenditures supervising using a fuzzy entity-relationship model, which takes into account elements of the domain imperfect data. Due to the formalization of the stages of imperfect data processing based on fuzzy logic, a functional model for controlling the cost of resources is developed. The resource cost estimation method that uses fuzzy data representation and processing models is developed. The method of decision support for changing the state of the resource through the use of fuzzy classification is developed. According to the results of the study, an informational decision support system is created and tested. It includes the tools of processing the imperfect data of the characteristics of resources and production processes and the tools of forming control decisions on resources cost control. Verification of the results on experimental data showed their reliability.