Granulation operators on a knowledge base

Author

Qian, Yuhua ; Liang, Jiye ; Wei, Wei

Author_Institution

Key Lab. of Comput. Intell. & Chinese Inf. Process. of Minist. of Educ., Taiyuan

fYear

2008

fDate

26-28 Aug. 2008

Firstpage

538

Lastpage

543

Abstract

Knowledge in knowledge bases have two categories: complete and incomplete. In this paper, through uniformly expressing these two kinds of knowledge, we first address four operators on a knowledge base, which are adequate for generating new knowledge through using known knowledge. Then, we establish the relationship between knowledge and knowledge granulation. These results will be very helpful for knowledge discovery from knowledge bases and play a significant role for establishing a framework of granular computing in knowledge bases.

Keywords

data mining; knowledge based systems; mathematical operators; rough set theory; granular computing; knowledge base system; knowledge discovery; knowledge granulation operator; Artificial intelligence; Computational intelligence; Computer science education; Information entropy; Information processing; Information technology; Laboratories; Lattices; Measurement uncertainty; Set theory; Granular computing; granulation operator; knowledge base; rough set theory;

fLanguage

English

Publisher

ieee

Conference_Titel

Granular Computing, 2008. GrC 2008. IEEE International Conference on

Conference_Location

Hangzhou

Print_ISBN

978-1-4244-2512-9

Electronic_ISBN

978-1-4244-2513-6

Type

conf

DOI

10.1109/GRC.2008.4664631

Filename

4664631