Prioritized relevant effect identification for problem solving based on similarity measures

This provides a paradigm shift in research direction for TRIZ-based research from logical reasoning to quantitative calculations contributing to TRIZ recognition in scientific fields. The contributions of this study include: 1) Using the problem characteristics array and solution characteristics array based on technical effects to enable mathematical computations for prioritized effect solutions instead of traditional qualitative reasoning and non-prioritized excessively large number of suggestions. 2) Providing a means to continually accumulate expert knowledge and experience by integrating more expert-solved cases to provide users a rapid, objective, and effective problem-solving system. This implies a continuous learning system which uses cumulative knowledge from many experts objectively instead of otherwise knowledge from individual experts. 3) Enhancing existing 39 parameters to 78 parameters and increasing existing 36 functions to 61 functions to cover more problem solving situations.