  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 of the object descriptions with significant innovation potential. The
model of innovation index computation 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 coprocess (incomplete) data from numerous sources and to
obtain probabilistic innovation assessments are used. The experimental data of
the model check including the calculations of local criteria and global
additive evaluation criterion are presented. The cyclical nature of dynamic
changes in indicators, their interdependence was established, some general
features of the products promotion were found. The obtained experimental data
are consistent with expert estimates of the products under study. The analysis
of the local criteria used in the research gives grounds to assert 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.
