Linguistic Analysis of High-Tech Production Complex

Abstract

This article shows that the complex structure of the high-tech production complex, as well as the great quantity of research, technical, production, financial and economic processes therein complicate the analysis and assessment of its development by means of traditional approaches and modeling methods. Numerous experiments focusing on formalization of weakly structured phenomena, objects, situations and systems by traditional methods (e.g. operational or mathematical) ended with transformation of constructed models into theoretical abstractions which failed to reflect the reality. As a result, many classes of existing problems (defined improperly or too complicated for strict mathematical analysis) are not properly studied and solved. In order to examine such systems, we suggest to use the linguistic methodology and tools based on special computational procedures, which allow to study the weakly structured phenomena, objects, processes, situations and systems on the conceptual level. This article shows that the principal tools of linguistic modeling include hypertext, which combines the benefits of thesaurus, monograph and encyclopedia, and the cognitive map, which is a simplified schematic description of an individual fragment of a complicated phenomenon related to the studied problem. Using the linguistic analysis and forecasting, we constructed and characterized possible base scenarios of development of the Russian high-tech industry: “Unstable growth”, characterized by comparatively fast growth of economic indicators and accompanied with inevitable failures; “Sustainable development”, characterized by slow, but permanent development, and “Pessimistic forecast”, implementation of which will not result in overcoming the crisis-related phenomena.

DOI: 10.5901/mjss.2015.v6n4s4p130