Rough-Set-Based Attribute Dependencies: Foundations and Bio-Medical Data Applications

Theory of rough sets, proposed by Zdzislaw Pawlak in 1982, is a model of approximate reasoning. In applications, rough set methodology focuses on approximate representation of knowledge derivable from data. It leads to significant results in many areas including, for example, finance, industry, multimedia, medicine, and most recently bioinformatics.

几种所与论及其评析

知识论领域长久以来广泛讨论的主题是,是否存在像"所与"这样的东西。刘易斯等基础主义者都认为存在"所与"这样的东西,而且它在基础知识论中起重要作用。尽管在基础主义内部关于"所与"的表述形式各异,但核心思想都是把基础信念看做是作为材料"所与"我们的,因此我们一般把基础主义的这一理论称为"所与论"。然而,我们的重点不在所与论的差异而在于它们之间的共同点,为此,我们要先阐明一些有代表性的哲学家关于所与的观点,再进一步讨论所与在经验主义知识论中究竟有何作用。