Abstract
The article deals with the problem of subjectivity of system analysis and insufficient development of mechanisms for assessing its effectiveness. The role of intelligent systems for carrying out a system analysis of complex socio-economic objects has been substantiated as a way to increase its objectivity and effectiveness. Emphasis is given on the research of the Russian scientific school of taxonomy, which contributes to the shift of systems analysis technologies towards the systems of “intelligent functioning”.
The basic concept of the Systems Analysis Platform is presented, including theory, methodology and tools in a new paradigm. It presents artificial intelligence in three dimensions: “the translated natural intelligence of the subject”; “computer-generated machine intelligence”; “the collective intelligence of the community, formed within the framework of the Internet of things”. Private procedures for formalizing system analysis have been developed: SWOT analysis, morphological analysis, cenological analysis, reconciliation of conflicting interests of business entities of different levels of management. The proposed approach will increase the objectivity of the analysis of modern socio-economic systems.
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Lyabakh, N.N. (2022). Increasing Objectivity in the System Analysis of Socio-Economic Objects. In: Vasiliev, Y.S., Pankratova, N.D., Volkova, V.N., Shipunova, O.D., Lyabakh, N.N. (eds) System Analysis in Engineering and Control. SAEC 2021. Lecture Notes in Networks and Systems, vol 442. Springer, Cham. https://doi.org/10.1007/978-3-030-98832-6_3
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