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商空间粒度的可逆性研究*

陈林书 王加阳 柳媛慧 马庆

计算机科学与探索2019,Vol.13Issue(5):884-891,8.
计算机科学与探索2019,Vol.13Issue(5):884-891,8.DOI:10.3778/j.issn.1673-9418.1804039

商空间粒度的可逆性研究*

Study on Reversibility of Quotient Space Granularity*

陈林书 1王加阳 2柳媛慧 1马庆3

作者信息

  • 1. 湖南科技大学 计算机科学与工程学院,湖南 湘潭 411201
  • 2. 中南大学 计算机学院,长沙 410083
  • 3. 湖南软件职业学院 软件与信息工程学院,湖南 湘潭 411100
  • 折叠

摘要

Abstract

Granular computing is an important research hotspot in artificial intelligence field. As one of the most important granular computing models, the quotient space theory mainly focuses on constructing the quotient space granularity by the false preserving principle, which is granulating from fine to coarse granularity. However, the granulation is an information decreasing and irreversible process. Therefore, this paper focuses on the reversibility of quotient space granularity. Firstly, in order to get the mathematical formal method of reversibly converting granularity from coarse to fine one, it proposes the concept and constructing method of inverse quotient space. Secondly, by analyzing the consistency of quotient space and original space, it demonstrates and analyzes two reversible conditions of the quotient space granularity—defining a bijective function or ensuring the saturability of all open-sets on the original space. This paper aims to further enrich and improve the quotient space granularity transformation theory and granular computing method.

关键词

粒计算/商空间理论/逆商空间/饱和性/可逆性

Key words

granular computing/ quotient space theory/ inverse quotient space/ saturability/ reversibility

分类

信息技术与安全科学

引用本文复制引用

陈林书,王加阳,柳媛慧,马庆..商空间粒度的可逆性研究*[J].计算机科学与探索,2019,13(5):884-891,8.

基金项目

The National Natural Science Foundation of China under Grant No. 61772031 (国家自然科学基金) (国家自然科学基金)

the Natural Science Foundation of Hunan Province under Grant No. 2018JJ2131 (湖南省自然科学基金) (湖南省自然科学基金)

the Research Project of Steering Committee of Vocational Education for Industrial and Informatization[2018]20 (全国工业和信息化职业教育教学指导委员会科研课题). (全国工业和信息化职业教育教学指导委员会科研课题)

计算机科学与探索

OA北大核心CSCDCSTPCD

1673-9418

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