Analysis of the feasibility of innovative projects for creating high technology products: the algorithms and instruments
Today, development of Russian economy is inseparably connected with the application of high technologies and the practical introduction of radical innovations. In managing the project to create hightech products analysis of its implementation prospects plays an important role. It should be based on assessing the sufficiency of the internal resources and the accumulated potential of the enterprise, the favorable external conditions. The specific features of innovative activities, related to the statistics lack, have necessitated the usage of data mining techniques. In the article it's suggested the economic and mathematical apparatus for the diagnosis of various elements of internal and external enterprise environment, based on the modified algorithms of growing pyramidal networks. The modification is involved using the fuzzy logic methods to find reasonable single decision under the conditions of uncertainty. The fuzzy inference algorithms are applied to calculate the connection power between the factors and conditions and the vertex significance. The neuro-fuzzy classifier is used to get an aggregate assessment of the various indicators - the characteristics of internal and external enterprise environment. These methods are implemented as the expert-diagnostic system, which is built using the server pages of database Caché and tools of mathematical package MatLab. It is expected that the application of the described tools will enhance the validity of accepted decisions and reduce the errors in the initial stages of the project lifecycle.