Research in Quotient Space Theory Based on Structure

Author

Zhao, Liquan ; Zhang, Ling

Author_Institution

Province Key Lab. of Electron. Bus., Nanjing Univ. of Finance & Econ.

Volume

1

fYear

2006

fDate

17-19 July 2006

Firstpage

309

Lastpage

313

Abstract

The quotient space theory is indented to study the relationship of transform and that of dependency among the worlds with different grain-size. Compared with other granule computing tools, it has more powerful abilities of representation and absorption. The reason is that structure is introduced in its model. The paper is to study the quotient space theory based on structure. We first introduce some methods of constructing quotient structure. Then we study in detail the quotient space family based on structure, and get some good results for further research. Finally we also briefly discuss hierarchical structure of fuzzy sets

Keywords

computation theory; fuzzy set theory; uncertainty handling; fuzzy sets; granular computing; hierarchical structure; quotient space theory; quotient structure; Absorption; Artificial intelligence; Biomedical signal processing; Decision trees; Fuzzy sets; Intelligent structures; Laboratories; Power generation economics; Signal processing; Topology; fuzzy set; granule computing; hierarchical structure; quotient space; rough set;

fLanguage

English

Publisher

ieee

Conference_Titel

Cognitive Informatics, 2006. ICCI 2006. 5th IEEE International Conference on

Conference_Location

Beijing

Print_ISBN

1-4244-0475-4

Type

conf

DOI

10.1109/COGINF.2006.365512

Filename

4216429