New Approach for Interpolative Reasoning with Multi Dimensonal Sparse Fuzzy Rules
Lu Zheng · Mini-micro Systems · 2004
Many different interpolative reasoning approaches have been proposed to one dimension condition through interpolative reasoning theory in recent years. They are with many good experience, but the research for interpolative reasoning under multidimensional sparse rules condition is lacking and a few existing approaches have some faults. For example it is difficult to keep convexity and normality to them under multidimensional sparse rules condition. In order to get better conclusion under multidimensional sparse rules condition, we propose a based on geometric analogy multidimensional interpolative reasoning approach which can keep the convexity and normality of the reasoning conclusion better. It devotes a useful tool for fuzzy reasoning in intelligent systems.