1、Knowledge reduction algorithm based binary discernibility matrix;
2、Secondly, we investigate the method of discernibility matrix and function.
3、Efficient algorithm of attribute reduction based on Skowron's discernibility matrix
4、It proposes two data reduction models based on discernibility matrix and data analysis separately, improves the discernibility matrix algorithm and made the comparison between the two models.
5、Fault diagnosis of refrigerated system of reduction based on discernibility matrix
6、Incremental updating algorithm for neighborhood-based attribute reduction based on discernibility matrix
7、A strategy of medical image database classification based on discernibility matrix and PSVM
8、Method of discernibility matrix for attribute reduction based on system entropy
9、By means of integrating conflict analysis and the idea of discernibility matrix, the concept of conflict matrix is put forward.
10、In this paper, application about discernibility matrix arithmetic and HORAFA arithmetic based on the rough set theory is introduced.
11、Subsequently, to heuristically measure the relative importance of candidate cuts, relevant metrics are studied based on "cut discernibility matrix".
12、The definitions of SRS and two theorems of computing the feature weights based on discernibility matrix are presented.
13、In this paper, a construction method of discernibility matrix for both consistent information systems and inconsistent information systems is presented.
14、An extracting rules algorithm based on class feature matrix is presented, which has made use of the characteristic of discernibility matrix.
15、In the improved algorithm in this paper, using frequency as the heuristic information of attributes selection, getting frequency of attributes from the filtered discernibility matrix.
16、Based on the definitions, the core finding algorithm, the relative attribute reduction algorithm and value reduction of information decision system are presented based on binary discernibility matrix.
17、The authors introduced an incremental updating algorithm for computing core based on improved discernibility matrix, which mainly considered core updating when objects dynamically increased.
