The Neural Network Based Decision Support System Using Aggregated Opinions of Public Observers

Creation of information technologies becomes especially actual when the accessible information is interpreted as a major and unique resource, a stock, a reserve, as an element of economic potential of the business entity, which should be used effectively for achievement of a competitive position in the market. Thereupon there is necessary a decision of some actual scientific problems: formation of the major concepts, development of theoretical bases of data resource management, creations of typical models of information systems for the enterprises, corporations and regional economy. In the framework of e-Governance the conception of decision making support system is offered on the base of the aggregated opinions of public observers. All estimations of these recipients are realized by fuzzy inference system and aggregated by structured neural network model. The neural network model combining two types three-layer feedforward neural networks, allows rather quickly reacting to possible changes in a conjuncture of recipients’ priorities.