Logical difference model of grade upper approximation operator and grade lower approximation operator

Author

Zhang, Xianyong

Author_Institution

Coll. of Math. & Software Sci., Sichuan Normal Univ., Chengdu, China

fYear

2010

fDate

16-18 April 2010

Firstpage

158

Lastpage

162

Abstract

Grade is an important quantitative index, and graded rough set model is an important improved rough set model. This paper is to explore new improved rough set model. Based on logical difference operation of grade approximation operators, it proposes logical difference model of grade upper approximation operator and grade lower approximation operator. In the new model, basic structure and properties are obtained, and macroscopic algorithm and structural algorithm are proposed. Finally logical difference model of grade upper approximation operator and grade lower approximation operator is explained by a medical example.

Keywords

rough set theory; grade lower approximation operator; grade upper approximation operator; graded rough set model; logical difference model; macroscopic algorithm; quantitative index; structural algorithm; Data analysis; Educational institutions; Humans; Logic; Mathematical model; Mathematics; Quantization; Rough sets; Set theory; approximation operator; artificial intelligence; grade; graded rough set; logical operation; rough set model;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Management and Engineering (ICIME), 2010 The 2nd IEEE International Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4244-5263-7

Electronic_ISBN

978-1-4244-5265-1

Type

conf

DOI

10.1109/ICIME.2010.5477487

Filename

5477487