Open AccessIntellectual support for the analysis of the implementation of innovative development programs of the regional agro-industrial cluster
Author(s) -
Vadim Lomazov,
Александр Вадимович Ломазов,
О. А. Иващук,
Olga Akupiyan,
Е. В. Нестерова
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/839/2/022068
Subject(s) - computer science , inference engine , fuzzy logic , inference , reflection (computer programming) , development (topology) , knowledge base , cluster (spacecraft) , industrial engineering , data science , management science , artificial intelligence , engineering , mathematical analysis , mathematics , programming language
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.