Multi-Factor Induction Based on Grey Relational Degree and Rough Set
Multi-Factor Induction Based on Grey Relational Degree and Rough Set
- New search for: Wang, Taoyu
- New search for: Shi, Xianjun
- New search for: Chen, Qijie
- New search for: Yan, Liang
- New search for: Duan, Haibin
- New search for: Yu, Xiang
- New search for: Wang, Taoyu
- New search for: Shi, Xianjun
- New search for: Chen, Qijie
One of the key barriers to generalizing correct and useful rules from lengthy and jumbled data is that there is a large amount of information in the object which is irrelevant to the result or has little relevance to the result. In this paper, the grey relational degree is improved to make it suitable for 0–1 data sets, so the test data can be preprocessed. The rough set theory and association rules are integrated, the accuracy of rule induction is improved. With the help of the fission and breed characteristic of genetic algorithm, the basic test database is extended, so the problem of the lack of test data cases is solved. Finally, the paper applies the example to verify the algorithm.
Document information
Multi-Factor Induction Based on Grey Relational Degree and Rough Set
Lect. Notes Electrical Eng.
2021-10-30
12 pages
Article/Chapter (Book)
Electronic Resource
English
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