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Content Provider | IEEE Xplore Digital Library |
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Author | Xianyong Zhang Fang Xiong Zhiwen Mo |
Copyright Year | 2010 |
Abstract | Precision and grade are two important quantitative indexes. The purpose of this paper is to combine precision and grade, and explore new extended rough set model. Based on logical difference operation of precision and grade, this paper proposes model of logical difference operation of variable precision upper approximation operator and grade lower approximation operator. In the new model, fundamental structure and properties are obtained by transformation formulas between variable precision approximations and graded approximations, furthermore regular algorithm and structural algorithm are proposed and analyzed. Finally a practical example is given to illustrate the model and the algorithms. The new model has extended variable precision rough set model, graded rough set model and classical rough set model, and so these models have obtained similar properties of approximation operators. |
Starting Page | 671 |
Ending Page | 674 |
File Size | 248328 |
Page Count | 4 |
File Format | |
ISBN | 9781424450015 |
e-ISBN | 9781424457397 |
DOI | 10.1109/ICMTMA.2010.719 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2010-03-13 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Algorithm design and analysis Automation Mechatronics precision Quantization Educational institutions Probabilistic logic Mathematics artificial intelligence graded rough set variable precision rough set Rough sets approximation operator logical operation grade structural algorithm Software measurement Mathematical model rough set theory |
Content Type | Text |
Resource Type | Article |
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