On the problem of information supportof decision-making automation
For computer programs need a formalized information. As is known, automated control systems work only with formal information. The basis for the formalization of a system of information classification and coding. The use of formalized data allows users to work with software from the automated control systems. By increasing the size of the control systems and the number of used software, there is a problem of organization of information exchange. Normative documents recommend organizing information interaction through communication protocols. However, with the growing size of the control systems there is the problem of maintaining these protocols to date. Within the framework of the currently used "hard" coding system to solve the problem of updating the information exchange is not possible. The aim of the study is to find ways to solve the problem of interoperability based on other principles other than organizational ones. To solve this problem, the article formulates the formulation of the problem of ensuring interoperability in distributed multi-agent environments based on the methods of "fuzzy" classification and coding. To solve this problem, it is proposed to use in the automated decision support systems fundamentally new information and linguistic support on the basis of the methodology of "fuzzy classification". Practice shows the possibility of using algorithmic formalization methods in a cluster of systems that are not too critical to the input information. In the future, with the development of technology, the scope of the proposed approach can be expanded. In the future, this will make it possible to move from the organization of a potentially effective, but difficult to implement in practice, “Single Information Space” to a “unified information field”.