论文标题
部分可观测时空混沌系统的无模型预测
Granular Generalized Variable Precision Rough Sets and Rational Approximations
论文作者
论文摘要
在最近的研究论文中,第一作者在颗粒状的粗糙集及其概括中引入和研究了理性近似值。理性的概念取决于粒度,序列学和近似值之间的相关本体论和连贯性。此外,她在上述论文中引入了理性近似框架。根据可变精度粗糙集(VPRS)构建的颗粒近似值可能比在某些条件下从经典的角度构建的近似值更合理。对于前者的一些概括,这可能会继续存在。但是,在先前发表的文献中没有对这种情况的形式表征。在这项研究中,该问题的理论方面进行了彻底的研究,引入了粒状VPR的统一概括,证明了具有颗粒状渐变粗糙集的新连接,引入了适当的实质性概念,它们与框架的兼容程度进行了访问,并扩展了框架。详细说明了基本假设,并构建了其他示例以使其可读性。此外,发明了用于集群验证,图像分割和动态排序的元应用。直接对VPR的概括(例如概率粗糙集)的扩展是工作的自然结果。
Rational approximations are introduced and studied in granular graded rough sets and generalizations thereof by the first author in recent research papers. The concept of rationality is determined by related ontologies and coherence between granularity, mereology and approximations in the context. In addition, a framework for rational approximations is introduced by her in the mentioned paper(s). Granular approximations constructed as per the procedures of variable precision rough sets (VPRS) are likely to be more rational than those constructed from a classical perspective under certain conditions. This may continue to hold for some generalizations of the former. However, a formal characterization of such conditions is not available in the previously published literature. In this research, theoretical aspects of the problem are critically examined, uniform generalizations of granular VPRS are introduced, new connections with granular graded rough sets are proved, appropriate concepts of substantial parthood are introduced, their extent of compatibility with the framework is accessed, and the framework is extended. Basic assumptions are explained in detail, and additional examples are constructed for readability. Furthermore, meta applications to cluster validation, image segmentation and dynamic sorting are invented. Extensions to direct generalizations of VPRS such as probabilistic rough sets are a natural consequence of the work.