Incomplete Fuzzy Information System

Yang Xibei,Yang Jingyu,Wu Chen,Fu Fan

Strategic Study of CAE ›› 2006, Vol. 8 ›› Issue (7) : 47 -53.

PDF (3991KB)
Strategic Study of CAE ›› 2006, Vol. 8 ›› Issue (7) : 47 -53.
Academic Papers

Incomplete Fuzzy Information System

Author information +
History +
PDF (3991KB)

Abstract

In this paper, incomplete fuzzy information system is studied. In order to deal with it by rough set theory, fuzzy compatible relation and fuzzy rough approximation are defined by logic function. Furthermore, fuzzy covering on universe is proposed, three different operations on the coverings are formed and then some significant results are gained. Besides, with the two new definitions of fuzzy rough entropies, uncertain factors could be effectively measured, some important relationships between the varieties of uncertain factors and the strength of those entropies are discussed carefully. Finally, knowledge dependency in rough set theory is transformed to fuzzy knowledge dependency in the incomplete fuzzy information system. A new method for measuring the strength of partial fuzzy knowledge dependency is proposed. Some immediate theorems are proved.

Keywords

incomplete fuzzy information system / fuzzy compatible relation / fuzzy rough set / fuzzy covering / fuzzy rough entropy / fuzzy knowledge dependency

Cite this article

Download citation ▾
Yang Xibei,Yang Jingyu,Wu Chen,Fu Fan. Incomplete Fuzzy Information System. Strategic Study of CAE, 2006, 8(7): 47-53 DOI:

登录浏览全文

4963

注册一个新账户 忘记密码

References

AI Summary AI Mindmap
PDF (3991KB)

288

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/