Results 31 to 40 of about 3,498,542 (196)

Ensemble-Based Neighborhood Attribute Reduction: A Multigranularity View

Complexity, 2019
Recently, multigranularity has been an interesting topic, since different levels of granularity can provide different information from the viewpoint of Granular Computing (GrC). However, established researches have focused less on investigating attribute
Yuan Gao, Xiangjian Chen, Xibei Yang, Pingxin Wang, Jusheng Mi   +4 more
doaj   +1 more source

Positive Macroscopic Approximation for Fast Attribute Reduction

Journal of Applied Mathematics, 2013
Attribute reduction is one of the challenging problems facing the effective application of computational intelligence technology for artificial intelligence.
Zheng-Cai Lu, Zheng Qin, Qiao Jing, Lai-Xiang Shan   +3 more
doaj   +1 more source

Incremental Attribute Reduction Algorithm Based on Binary Discernibility Matrix [PDF]

Jisuanji gongcheng, 2017
Incremental attribute reduction algorithm is one of the important research contents in the area of dyanmic data mining.To reduce the storage space of binary discernibility matrix,and by combining the advantages of the binary discernibility matrix that it
DING Mianwei,ZHANG Tengfei,MA Fumin
doaj   +1 more source

Efficient Attribute Reduction Algorithm [PDF]

, 2004
Efficiency of algorithms is always an important issue concerned by so many researchers. Rough set theory is a valid tool to deal with imprecise problems. However, some of its algorithms’ consuming time limits the applications of rough set. According to this, our paper analyzes the reasons of rough set algorithms’ inefficiency by focusing on two ...
Zhongzhi Shi, Shaohui Liu, Zheng Zheng 0001   +2 more
openaire   +2 more sources

Three-way attribute reducts

International Journal of Approximate Reasoning, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Xianyong Zhang, Duoqian Miao 0001
openaire   +2 more sources

A novel attribute reduction algorithm based on peer-to-peer technique and rough set theory

, 2010
Rough Set theory is an effective tool to deal with vagueness and uncertainty information to select the most relevant attributes for a decision system. However, to find the minimum attributes is a NP-hard problem.
null Peng Wen, Wen, Peng, Ma, Guangzhi, null Yansheng Lu, Engmin Song, Song, Engmin, Guangzhi Ma, Lu, Yansheng   +7 more
core   +1 more source

Decision Implication Preserving Attribute Reduction in Decision Context [PDF]

Jisuanji kexue
Formal concept analysis is a theory of data analysis using concept lattice,and attribute reduction is one of the main ways of concept lattice reduction.Decision implication is a knowledge representation and reasoning model of formal concept analysis in ...
BI Sheng, ZHAI Yanhui, LI Deyu
doaj   +1 more source

NOx Emission Prediction of Coal Fired Utility Boiler Based on FAR-HK-ELM

Taiyuan Ligong Daxue xuebao, 2021
A prediction method for NOx emission of coal-fired utility boiler based on FAR-HK-ELM was proposed by combining the Fast Attribute Reduction (FAR) and Hybrid Kernel Extreme Learning Machine (HK-ELM) algorithms.
Wenhua FU, Jun XIE, Mifeng REN, Xinying XU, Gaowei YAN   +4 more
doaj   +1 more source

Inconsistency guided robust attribute reduction [PDF]

, 2021
Attribute reduction (AR) plays an important role in reducing irrelevant and redundant domain attributes, while maintaining the underlying semantics of retained ones.
Shen, Qiang, Deng, Ansheng, Qu, Yanpeng, Shang, Changjing, Ge, Xiaolong, Xu, Zheng   +5 more
core   +1 more source

Attribute Reduction Algorithm Based on Structure Discernibility Matrix in Composite Information Systems

ITM Web of Conferences, 2017
Attribute reduction, as an important preprocessing step for knowledge acquiring in data mining, is one of the key issues in rough set theory. It can only deal with attributes of a specific type in the information system by using a specific binary ...
Ge Mei-Jun, Fan Nian-Bai, Sun Tao
doaj   +1 more source