Results 261 to 270 of about 1,573,882 (289)
Some of the next articles are maybe not open access.
Attribute reduction based on improved discernibility matrix
2010 2nd IEEE International Conference on Information Management and Engineering, 2010The attribute reduction based on information entropy is different to that based on positive region in inconsistent information system. The problem of discernibility matrix in algebra view is analyzed, and an new discernibility matrix based on information entropy is proposed in this paper.
Zhou Peng, Li Zhishu, Huang Zhiguo
openaire +1 more source
Dimensionality reduction of EEG signal using Fuzzy Discernibility Matrix
2017 10th International Conference on Human System Interactions (HSI), 2017High dimensionality of feature space is a problem in supervised machine learning. Redundant or superfluous features either slow down the training process or dilute the quality of classification. Many methods are available in literature for dimensionality reduction.
Rajdeep Chatterjee +3 more
openaire +1 more source
A Simplified Discernibility Matrix of the Attribute Reduction Method
2010 3rd International Conference on Information Management, Innovation Management and Industrial Engineering, 2010According to existing have defects discernibility matrix, and the attribute reduction algorithm for attribute reduction algorithm of complex process. This paper made part of optimization, based on the condition attributes classify the grouping generated representative data to simplify the discernibility matrix, and the order of the discernibility ...
Weilai Hao, Xuebin Zhang
openaire +1 more source
The Improved Discernibility Matrix Based on Decision Vector
2013Skowron’s discernibility matrix is the evolvement of the attribute reduction models under algebra view. Aiming at the generating process of discernibility matrix, this paper simplifies decision system by introducing decision vector, and designs an improved discernibility matrix, which is capable of suiting inconsistency of decision system, as well as ...
Jingfu Li, Denghui Bu
openaire +1 more source
Applying Indiscernibility Attribute to Attribute Reduction Based on Discernibility Matrix
2009 International Conference on Environmental Science and Information Application Technology, 2009Attribute reduction is one of the key problems in Rough Set theory, and many algorithms based on discernibility matrix have been proposed and studied about it. In order to reduce the computational complexity of discernibility matrix method, a fast counting sort algorithm is first introduced for dealing with redundant and inconsistent data in decision ...
Jin Qian, Ping Lv
openaire +1 more source
A new algorithm for computing reducts based on the binary discernibility matrix
Intelligent Data Analysis, 2016Attribute reduction is a very important task in Rough Set Theory. In this context, in recent years several attribute reduction algorithms based on the discernibility matrix have been proposed. In this paper, we go back to the binary discernibility matrix and reformulate some basic concepts that allow us to build on them an algorithm for computing ...
Manuel S. Lazo-Cortés +3 more
openaire +2 more sources
Rule generating based on relative Discernibility Matrix
2012 International Conference on Computer Science and Information Processing (CSIP), 2012The concept of relative decision is put forward and the method for finding absolute reduction decision rule through combining rules of relative decisional condition sets is given in this paper. In the process of decision table reduction, the relative Discernibility Matrix between decision categories should be created in order to decide the relative ...
openaire +1 more source
A Symbolic Representation for Discernibility Matrix in Rough Set
Advanced Science and Technology Letters, 2014Generating discernibility matrix consumes huge time and space .To solve this problem, A new Binary Discernibility Matrix (BDM) induced from information table is defined, The concept of Binary Conjunction Matrix(BCM) is then introduced, Finally A novel method for discernibility matrix using Ordered binary decision diagrams(OBDD) is proposed in this ...
openaire +1 more source
Attribute Reduction Algorithm Based on the Simplified Discernibility Matrix of Granularity
2013This paper gives the definition of discernibility matrix of granularity in decision table and the corresponding attribute reduction and the definition of discernibility matrix of granularity in the simplified decision table and the corresponding attribute reduction.
Zhangyan Xu, Xiaoyu Wang, Wei Zhang
openaire +2 more sources
A Discernibility Matrix Based Algorithm for Feature Selection
2006 International Conference on Computational Intelligence and Security, 2006An algorithm of reduct computation for feature selection is proposed in the paper, which is a discernibility matrix based method and aims at reducing the number of irrelevant and redundant features in data mining. The method used both significance information of attributes and information of discernibility matrix to define the necessity of heuristic ...
openaire +1 more source