It has been proved the computation of minimal reduction and full reduction both is NP-hard problem, in artificial intelligence the common way is to employ heuristic knowledge to reduce.
Genetic algorithms are good candidates for attacking the challenge since GAs are very useful for extracting patterns in high-dimensionality problems where heuristic knowledge is sparse or incomplete.
According to quantitative parameters mapping relation, heuristic knowledge acquisition strategy based on qualitative reasoning and data mining is proposed.