An Improved Axiomatic Definition of Information Granulation

被引:12
作者
Zhu, Ping [1 ,2 ]
机构
[1] Beijing Univ Posts & Telecommun, Sch Sci, Beijing 100876, Peoples R China
[2] Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching, Beijing 100876, Peoples R China
基金
中国国家自然科学基金;
关键词
Information system; equivalence relation; information granulation; knowledge granulation; granulation measure; KNOWLEDGE GRANULATION; ROUGH ENTROPY; COMBINATION GRANULATION; UNCERTAINTY; REDUCTION; MODEL;
D O I
10.3233/FI-2012-752
中图分类号
TP31 [计算机软件];
学科分类号
081205 [计算机软件];
摘要
To capture the uncertainty of information or knowledge in information systems, various information granulations, also known as knowledge granulations, have been proposed. Recently, several axiomatic definitions of information granulation have been introduced. In this paper, we try to improve these axiomatic definitions and give a universal construction of information granulation by relating information granulations with a class of functions of multiple variables. We show that the improved axiomatic definition has some concrete information granulations in the literature as instances.
引用
收藏
页码:93 / 109
页数:17
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