Reductions of multi-covering information systems based on evidence theory

被引：0

作者：

Zhang, Shaopu ^{[1
]}

Feng, Tao ^{[2
,3
]}

机构：

[1] Department of Mathematics and Physics, Shijiazhuang Tiedao University, Shijiazhuang

[2] College of Mathematics and Information Science, Hebei Normal University, Shijiazhuang

[3] College of Science, Hebei University of Science and Technology, Shijiazhuang

来源：

International Journal of Advancements in Computing Technology | 2012年 / 4卷 / 16期

关键词：

Entropy; Evidence theory; Multi-covering system; Pignistic probability function; Reduction;

D O I：

10.4156/ijact.vol4.issue16.42

中图分类号：

学科分类号：

摘要：

This paper gives new information entropies based on the evidence theory and discusses the reductions of three different multi-covering systems. Firstly, we propose a new definition of information granule based on a covering system and a new information fusion method whose focal elements are the granules we defined. Then, we define special entropy and conditional entropy of a covering system by pignistic probability function and then study the reductions of multi-covering information systems, consistent multi-covering decision systems and inconsistent multi-covering decision systems. Three algorithms are designed to compute the above three reductions.

引用

页码：364 / 371

页数：7

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