2000年O．L，Mangasarian等人又提出了基于有效集方法（Active Set Methods）的 ASVM［28］算法。算法在经过特定的模型改造后得到对偶问题为没有上界的简单约束 （口≥0）的QP问题。
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为了在故障诊断信息不一致的情况下提取简单有效的诊断规则，提出了一种基于粗糙集理论的决策规则提取方法。
In order to extract simple and effective diagnostic rales from inconsistent diagnostic information, an extraction method of decision rules for fault diagnosis based on rough set theory is proposed.
文章提出了基于粗糙集的多输出逻辑函数优化方法，并给出了相应算法；实例验证表明，基于粗糙集的组合逻辑优化方法是可行和有效的。
Through examples it proves that the optimal method of the combinational logic based on the rough set is both feasible and effective.
获得感性信息有效地在概念设计，基于粗糙集理论的感性知识关联规则挖掘的新方法，提出了。
To acquire Kansei information effectively in the conceptual design, a new method of association rule mining for Kansei knowledge based on rough set theory was proposed.
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