  The paper presents a possible solution to the problem of algorithmization for
quantifying inno-vativeness indicators of technical products, inventions and
technologies. The concepts of technological nov-elty, relevance and
implementability as components of product innovation criterion are introduced.
Authors propose a model and algorithm to calculate every of these indicators of
innovativeness under conditions of incompleteness and inaccuracy, and sometimes
inconsistency of the initial information. The paper describes the developed
specialized software that is a promising methodological tool for using interval
estimations in accordance with the theory of evidence. These estimations are
used in the analysis of complex multicomponent systems, aggregations of large
volumes of fuzzy and incomplete data of various structures. Composition and
structure of a multi-agent expert system are presented. The purpose of such
system is to process groups of measurement results and to estimate indicators
values of objects innovativeness. The paper defines active elements of the
system, their functionality, roles, interaction order, input and output
inter-faces, as well as the general software functioning algorithm. It
describes implementation of software modules and gives an example of solving a
specific problem to determine the level of technical products innovation.
