Abstract: The paper considers the network structure of the industrial complex, which models the processes of investment projecting by the relevant agents (economic entities). It is assumed that investment projects are being implemented in the multi-agent network industrial complex with the corresponding general indicators of their effectiveness. In this regard, the development of a model for optimizing the adaptive control of investment projects of multi-agent network industrial complexes is based on procedures that use the presence of information and control links between agents. Such procedures involve the formation of a set of acceptable positions of project management processes, as well as the implementation of feedback in the form of appropriate reactions of agents’ control actions to possible changes in situations during the implementation of investment projecting processes. To solve the problem under consideration, the paper proposes a methodology for optimizing the adaptive control of investment projects of network industrial complexes, which allows developing numerical algorithms for creating intelligent management decision support systems. The practice of applying the proposed methodology is illustrated by the example of an investment project implemented by a network complex that unites food industry, catering and trade enterprises.

Cite: Shorikov A. , Butsenko E.
Optimization and Intellectualization of Adaptive Control of Investment Projects of Multi-agent Network Industrial Complexes with Fuzzy Data
5th INFUS Conference on Intelligent and Fuzzy Systems 22-24 Aug 2023