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Regular version of the site

Book chapter

Intelligent Information Technologies and Systems in the Systemic Research of Marketing Space

P. 296-303.
Serova E., Bagiev G.

The use of spatial systemic paradigm in the context of market relations in Russia presupposes complex research of how the subjects of marketing space interact with each other. Spatial science, as an area of interdisciplinary scientific research, has become especially popular in the last decades. Nowadays spatial aspects are one of the very well-known objects of analysis of the different knowledge fields. This paper deals with the issues of Russian and international researches in the field of intelligent information systems applications for systemic marketing research and how it can be properly supported by contemporary information communication technologies. The class of intelligent information technologies (IIT) and systems, including neural network (NN), fuzzy logic (FL), multi-agent systems (MAS), belonging to the class of expert systems, continue to improve. Intelligent information technologies are complex, require further research and development. The main goal of this paper is consideration of the issues of soft computing and agent based modeling implementation for spatiotemporal analysis, and the main domains or areas of their applying in the context of spatial economics. The objective of this research is characterization of qualitative parameters that impact on equilibrium of operation and development of spatial marketing systems and formation of conditions for maximizing of their effectiveness. It is empirical and theoretical research in equal measure. The study is based on literature review, analysis of large volumes of information, and findings of investigations in this field. The research problem is focused on the applying of modeling for analysis of spatial marketing systems.  The original contribution of the work is describing the hybrid intelligent model, which contains all three elements - optimization, simulation and fuzzy inference system. Research methodology is methods and procedures of modeling. The paper contains theoretical foundations and comparative analysis of different modeling methods and systems (including soft computing and agent based approach) and quantitative results obtained through the experimental model.