REMOTE SUPPORT OF THE STATE FINANCIAL SYSTEM SOLUTIONS: SYSTEM APPROACH

In connection with the transition to the program budget and the need to ensure high quality of public financial management one of the most difficult and important problems is to evaluate the effectiveness of the financial and economic activity. The problem of implementing the proposed financial-economic decisions leads to the demand of search mechanisms to formalize the verbal assessment of their quality and build on this basis comprehensive performance assessment, which is the synthesis of quantitative performance indicators and metrics that measure the quality of financial-economic decisions. The expert system is an organizational mechanism that allows solving a problem in a predetermined area of study in the automated way, based on the findings of narrow experts. Typically, expert systems are considered together with knowledge bases that represent the behaviors of experts in a particular field of knowledge using procedures of logical conclusion and adoption of optimal solutions, where the knowledge base is a set of facts and rules of inference. The present work proposes the concept of evaluating the effectiveness of functional mapping of the innovation system on the basis of a new formalization of a systematic approach using the methods of General algebra and methods of structural analysis and synthesis. In the article the authors consider the issues of control and diagnostics of possible deviations in the process of innovations’ budgeting which arise from the providing solutions of public financial management. For this purpose the knowledge base of experts formed, containing a set of rules for the different development versions. The algorithm of formalization of monitoring management model’s parameters offered that provides state of the economic homeostasis for the financial system in terms of the dynamics of its development. The developed methodology allows, in contrast to previously used, to characterize the studied properties in a single, integrated complex, as the number of technical indicators and synchronized with them intersystem connections, both in dynamics and static.