Abstract
Innovation processes are highly dynamic and competitive. Their effectiveness depends on the speed of reaction to changes in the market and economic situation. Therefore, there is a need for a comprehensive software to support the innovation process throughout the product life cycle. The latest tendency in design research show that great efforts are being made to implementation of CAI (Computer Aided Innovations) as part of CADx systems. This paper presents and discusses a heuristic discursive Advanced Morphological Approach (AMA) for solving the design problems on conceptual stage in uncertain conditions. This approach allows you to search for innovative solutions at the early design stages, form variant clusters, generate a variety of sub-optimal variants, choose the most rational alternatives and compare them. It is based on the provisions of the system, cluster analysis and morphological methods.
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