基于功能依赖的信息系统属性集信息颗粒研究

Yanbin Hao, Xiao Guo, Naiding Yang
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引用次数: 2

摘要

颗粒计算是计算智能领域的一种有用的方法。目前对信息颗粒的研究主要集中在对信息系统对象集及其属性进行粒化。提出了基于功能依赖的信息系统属性集信息颗粒的概念,并在此基础上定义了信息系统结构和信息系统结构复杂性的概念。研究了信息系统结构在功能依赖或属性变化时的变化规律。提出了一种新的属性约简概念,并给出了有效的计算方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on information system attribute set information granules based on functional dependency
Granular computing is a useful method in the computational intelligence field. The current research on information granule is mainly granulation of information system object set and its properties. The concept of information granules of information system attribute set based on functional dependency is proposed, and then the concepts of information system structure and information system structure complexity are defined. The changing rules of information system structure are studied when function dependency or attribute changes. A new concept of attribute reduction is presented and efficient calculation method is given.
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