Structured prior knowledge and granular structures

Authors:
Qinrong Feng;Duoqian Miao
Affiliations:
School of Mathematics and Computer Science, Shanxi Normal University, Linfen, Shanxi, P.R.China and Department of Computer Science and Technology, Tongji University, Shanghai, P.R.China;Department of Computer Science and Technology, Tongji University, Shanghai, P.R.China
Venue:
BI'09 Proceedings of the 2009 international conference on Brain informatics
Year:
2009

Citing 6
Cited 1

The teachable language comprehender: a simulation program and theory of language

Communications of the ACM
Multidimensional Database Technology

Computer
Data-Driven Discovery of Quantitative Rules in Relational Databases

IEEE Transactions on Knowledge and Data Engineering
On Intelligence

On Intelligence
Granular Computing for Web Intelligence and Brain Informatics

WI '07 Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence
Granularity

IJCAI'85 Proceedings of the 9th international joint conference on Artificial intelligence - Volume 1

Comparison of granular computing models in a set-theoretic framework

BI'12 Proceedings of the 2012 international conference on Brain Informatics

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, a hierarchical organization of prior knowledge based on multidimensional data model is firstly proposed, it is the basis of structured thinking. Secondly, a representation of granular structures based on multidimensional data model is also proposed, it can represents information from multiview and multilevel. Finally, the relation between structured prior knowledge and granular structures is analyzed.