Paper Info
Title
Attribute Reduction as Calculation of Focus in Granular Reasoning
Abstract
Granular reasoning proposed by Murai et al. is a mechanism for reasoning using granular computing, and the concept of "focus" has been proposed as a key concept of granular reasoning. On the other hand,the authors have redefined the concept of focus, and have proposed another concept of granularity, called visibility. However, as a result of the redefinition of focus, calculation of focus is very difficult because we need to check each atomic sentence in the visibility whether the atomic sentence is implied from the set of sentences we use in the current step of reasoning. In this paper, we propose a calculation method of focus in granular reasoning based on attribute reduction of rough set theory.
Year
DOI
Venue
2009
10.1109/ISMVL.2009.36
ISMVL
Keywords
Field
DocType
attribute reduction,key concept,rough set theory,calculation method,granular reasoning,granular computing,current step,atomic sentence,computer science,data analysis,symmetric matrices,rough set,data mining,cost accounting,information science,cognition,logic,focus,set theory,probability density function,visibility
Set theory,Visibility,Computer science,Atomic sentence,Theoretical computer science,Rough set,Granular computing,Granularity,Cognition,Probability density function
Conference
Citations 
PageRank 
References 
0
0.34
7
Authors
2
Name
Order
Citations
PageRank
Yasuo Kudo19526.41
Tetsuya Murai218642.10