Results 211 to 220 of about 140,208 (262)

Information system attribute reduction

Third International Workshop on Advanced Computational Intelligence, 2010
This paper describes the information systems as a family of equivalence relations or functions. It brings forward the notion of separation polynomial, which is an expression found by the separators (complement of the equivalence relations) via finite union operations and intersection operations.
Shaobai Chen, Mengfei Cao, Xiaodan Chen
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Reduct and attribute order

Journal of Computer Science and Technology, 2004
Based on the principle of discernibility matrix, a kind of reduction algorithm with attribute order has been developed and its solution has been proved to be complete for reduct and unique for a given attribute order. Being called the reduct problem, this algorithm can be regarded as a mapping R = Reduct(S) from the attribute order space Θ to the ...
Su-Qing Han, Jue Wang
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Inconsistency guided robust attribute reduction

Information Sciences, 2021
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Qu, Yanpeng, Xu, Zheng, Shang, Changjing, Ge, Xiaolong, Deng, Ansheng, Shen, Qiang   +5 more
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Attribute reduction and attribute characteristics of formal contexts

2013 International Conference on Machine Learning and Cybernetics, 2013
In this paper, by the definitions of meet-irreducible element we discuss attribute characteristics and attribute reduction of formal contexts. We first propose an effective method to determine whether an element is meet-irreducible. Then present an approach to judge the indispensable attributes and the dispensable attribute, by which the attribute ...
Eric C.C. Tsang, Ming-Wen Shao
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Improved general attribute reduction algorithms

Information Sciences, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Li, Baizhen, Wei, Zhihua, Miao, Duoqian, Zhang, Nan, Shen, Wen, Gong, Chang, Zhang, Hongyun, Sun, Lijun   +7 more
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Attribute Reduction Based on Continuous Attribute Domain

Advanced Materials Research, 2014
Discrete data attributes reduction, there are many mature methods, but for continuous data attributes reduction, general algorithm is not very good, in real life, the continuous data feature extraction and discrete data is also important, based on the number of new brain waves as analysis object, and through the continuous eeg feature extraction ...
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Minimal Attribute Space Bias for Attribute Reduction

2007
Attribute reduction is an important inductive learning issue addressed by the Rough Sets society.Most existing works on this issue use the minimal attribute bias, i.e., searching for reducts with the minimal number of attributes. But this bias does not work well for datasets where different attributes have different sizes of domains.
Fan Min, Xianghui Du, Hang Qiu, Qihe Liu
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Test-cost-sensitive attribute reduction

Information Sciences, 2011
In many data mining and machine learning applications, there are two objectives in the task of classification; one is decreasing the test cost, the other is improving the classification accuracy. Most existing research work focuses on the latter, with attribute reduction serving as an optional pre-processing stage to remove redundant attributes.
Fan Min, Huaping He, Yuhua Qian, William Zhu   +3 more
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Attribute reduction based on fusion information entropy

International Journal of Approximate Reasoning, 2023
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ji, Xia, Li, Jie, Yao, Sheng, Zhao, Peng
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Multi-granularity Attribute Reduction

2018
It is known that different parameters used in Gaussian kernel will provide us different granularities of information granulations. Therefore, kernel based fuzzy rough set has the characteristic of multi-granularity. From this point of view, a multi-granularity attribute reduction strategy is developed in this paper. Different from traditional reduction
Shaochen Liang, Keyu Liu, Xiangjian Chen, Pingxin Wang, Xibei Yang   +4 more
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