Abstract
The article discusses the approach for evaluating the innovation index of the products and technologies. The evaluation results can be used to create a warehouse for the object descriptions with significant innovation potential. The innovation index calculation model is based on the concepts of novelty, relevance, and implementability of the object. Formal definitions of these indicators are given and a methodology for their calculation are described. The fuzzy methods to process (incomplete) data from numerous sources and to obtain probabilistic innovation assessments are used. The experimental data of the model verification including the calculations of local criteria and global additive evaluation criterion are presented. The cyclical nature of dynamic changes in indicators, their interdependence and some general features of product promotion have been established. The obtained experimental data check with expert judgement of the investigated products. The analysis of the local criteria used in the research affords ground to assert about the correct use of the additive n-dimensional utility function. The adequacy of assumptions and formal expressions that are used in computational algorithms for selection information for data warehouse is confirmed.
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