Rough set model based on credibility measure

Author

Wu, Jing ; Tian, Da-Zeng ; Wang, Lin ; Yan, Shu-jing

Author_Institution

Coll. of Math. & Comput. Sci., Hebei Univ., Baoding, China

Volume

3

fYear

2009

fDate

12-15 July 2009

Firstpage

1822

Lastpage

1827

Abstract

Probabilistic rough set model is based on probabilistic measure which satisfied additive property. But in practical applications, there exist some non-additive set functions. So combining with credibility measure with self-duality and non-additive property, the conditional credibility measure is introduced, the entire credibility formula is given, the rough set model based on credibility measure is constructed, some properties of this model is proved. This model is applied to the Bayesian decision. Finally, the difference between this model and Pawlak rough set model is discussed.

Keywords

Bayes methods; decision theory; rough set theory; uncertainty handling; Bayesian decision; Pawlak rough set model; conditional credibility measure; nonadditive set functions; probabilistic rough set model; Additives; Application software; Bayesian methods; Chromium; Cybernetics; Data mining; Machine learning; Mathematical model; Mathematics; Set theory; Bayesian decision; Conditional credibility measure; Rough set;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2009 International Conference on

Conference_Location

Baoding

Print_ISBN

978-1-4244-3702-3

Electronic_ISBN

978-1-4244-3703-0

Type

conf

DOI

10.1109/ICMLC.2009.5212242

Filename

5212242