Rough Sets
Rough Sets
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DOI：
10.4018/978-1-60566-058-5.ch065
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发表时间：
2009
期刊：
影响因子：
--
通讯作者：
T. Beaubouef;F. Petry
中科院分区：
文献类型：
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作者：
T. Beaubouef;F. Petry
本章讨论了粗糙集理论通过允许管理不确定性来增强数据库的方法。由于粗糙集是一种通用的理论，它可以被集成到一个底层的数据库模型中，无论是关系型的还是面向对象的，也可以用于数据库的设计和管理。作者讨论了粗糙关系数据库模型，粗糙面向对象数据库模型，模糊集和直觉集扩展到这些模型。各种方法的比较和好处进行了讨论，说明了粗糙集的有用性和多功能性的不确定性管理数据库。粗糙集理论自20世纪70年代由Pawlak首次引入以来已经得到了很好的建立。它是基于两个简单的概念：不可分割性和近似区域。粗糙集理论是一种形式化的理论，数学上是合理的。它已被应用于逻辑和知识发现等多个研究领域，并已在真实的世界中的各种应用中实现。由于粗糙集能够用确定的、可定义的事物来定义不确定的事物，因此它是将现实世界的不确定性整合到计算机化数据库中的自然机制。此外，其他不确定性管理技术可以与粗糙集相结合，
This chapter discusses ways in which rough-set theory can enhance databases by allowing for the management of uncertainty. Rough sets can be integrated into an underlying database model, relational or object oriented, and also used in the design and uerying of databases, because roughsets are a versatile theory, theories. The authors discuss the rough relational databases model, the rough object-oriented database model, and fuzzy set and intuitionistic set extensions to each of these models. Comparisons and benefits of the various approaches are discussed, illustrating the usefulness and versatility of rough sets for uncertainty management in databases. INtrODUctION Rough-set theory has become well established since first introduced by Pawlak in the 1970s. It is based on two simple concepts: indiscernibility and approximation regions. Rough-set theory is a formal theory, mathematically sound. It has been applied to several areas of research such as logic and knowledge discovery, and has been implemented in various applications in the real world. Because of rough sets’ ability to define uncertain things in terms of certain, definable things, it is a natural mechanism for integrating real-world uncertainty in computerized databases. Moreover, other uncertainty-management techniques may be combined with rough sets to