Title :
Logical difference model of grade upper approximation operator and grade lower approximation operator
Author_Institution :
Coll. of Math. & Software Sci., Sichuan Normal Univ., Chengdu, China
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;
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
DOI :
10.1109/ICIME.2010.5477487
