2008Microcomputer InformationRequires access

Research on Granular Computing Based on Rough Set Theory and Its Application

Linlin Zhou

Open publisher page 0 citations

Abstract

Rough Set Theory propose that knowledge is granular,but it does not quantify this granular knowledge.In this paper,we pro-pose definitions of granular amount of knowledge,granular particle amount of knowledge,average granular particle amount of kowledge,approach 1 coefficient and granularity of knowledge;We introduce a method of reduction of knowledge to avoid blindness when choosing the reduction of attributes;Also,the time complexity is analyzed;Finally,the validity is shown through an example of maritime accidents.

About this research paper

What this paper is about

Rough Set Theory propose that knowledge is granular,but it does not quantify this granular knowledge.In this paper,we pro-pose definitions of granular amount of knowledge,granular particle amount of knowledge,average granular particle amount of kowledge,approach 1 coefficient and granularity of knowledge;We introduce a method of reduction of knowledge to avoid blindness when choosing the reduction of attributes;Also,the time complexity is analyzed;Finally,the validity is shown through an example of maritime accidents.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Rough Set Theory propose that knowledge is granular,but it does not quantify this granular knowledge.In this paper,we pro-pose definitions of granular amount of knowledge,granular particle amount of knowledge,average granular particle amount of kowledge,approach 1 coefficient and granularity of knowledge;We introduce a method of reduction of knowledge to avoid blindness when choosing the reduction of attributes;Also,the time complexity is analyzed;Finally,the validity is shown through an example of maritime accidents.

Key concepts: Granular computing, Rough set, Granularity, Computer science, Reduction (mathematics), Blindness, Set (abstract data type), Particle (ecology)

Related papers

Back to paper searchBrowse research topicsOriginal source
Research on Granular Computing Based on Rough Set Theory and Its Application — Research Paper | ScholarLens