Intellectual support for the analysis of the implementation of innovative development programs of the regional agro-industrial cluster

V A Lomazov,E V Nesterova,A V Lomazov,O A Ivashchuk,O S Akupiyan

doi:10.1088/1755-1315/839/2/022068

Abstract

The paper is devoted to the problems of using modern digital technologies to manage the implementation of programs for the development of the regional economy’s agro-industrial cluster. An approach based on the use of intelligent (knowledge-oriented) information systems for analyzing the progress of program implementation is proposed. As a model for representing knowledge about the subject area, it is proposed to use the apparatus of the linguistic variable theory and fuzzy production rules, which makes it possible to take into account the high level of uncertainty inherent in the agricultural sector of the economy. The inference engine included in the information system is based on explicitly interpreted Mamdani’s procedure of fuzzy logical inference, which makes it possible to form explanations of the course of reasoning. The developed structure of the intelligent information system is a concretization and extension of the traditional one, taking into account the reflection of the specifics of the tasks of managing the implementation of programs for the development of the agro-industrial cluster. The preliminary results of the experimental operation of the research prototype of the developed system can serve as confirmation of the effectiveness of the proposed design solutions.

Highlights

Improving the functioning of the agricultural sector of the national economy is impossible without permanent attention of society and the state, interested in profitability of agribusiness, and in ensuring integrated sustainable development of rural areas [1], including, in particular, issues of employment, and improving the quality of life in rural areas. the general population [2]; introduction of knowledge intensive high-performance technologies [3]; environmental friendliness of both production processes and agricultural products [4]
Expert and Cognitologist perform the filling of knowledge bases (Linguistic variable base and Fuzzy production rule base), the division of which reflects the specifics of the methodological apparatus used and is another feature of the developed system
The paper considers the task of developing tools for intellectual support of the analysis of the implementation of regional agro-industrial cluster development programs, taking into account the high level of uncertainty characteristic of innovative agricultural production

Summary

Introduction

Improving the functioning of the agricultural sector of the national economy is impossible without permanent attention of society and the state, interested in profitability of agribusiness, and in ensuring integrated sustainable development of rural areas [1], including, in particular, issues of employment, and improving the quality of life in rural areas. the general population [2]; introduction of knowledge intensive high-performance technologies [3]; environmental friendliness of both production processes and agricultural products [4]. The use of an innovative approach to solving these problems is associated with positive aspects [5,6,7], and with risks (caused, in particular, by insufficient scientific study and absence of experience in using the latest agro-industrial technologies). This leads to the need for thorough working-out and monitoring of the implementation of projects and programs for the development of agro-industrial systems.

Objectives

Methods

Results

Conclusion