Results 1 to 10 of about 10,917,671 (339)
Positive Macroscopic Approximation for Fast Attribute Reduction [PDF]
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 +3 more
doaj +2 more sources
Decision Implication Preserving Attribute Reduction in Decision Context [PDF]
Jisuanji kexueFormal 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 +2 more sources
Neighborhood conditional mutual information entropy attribute reduction algorithm for hybrid data
大数据, 2022 Attribute reduction is an important research content of the rough set theory.Its main purpose is to eliminate irrelevant attributes in information systems, reduce data dimensions and improve data knowledge discovery performance.However, most of the ...
Haibo LAN
doaj
Research on Attribute Reduction Algorithm in Aquatic Product Safety Assessment System [PDF]
Jisuanji gongcheng, 2016 Aiming at the complexity and redundancy of the evaluation index in the aquatic product safety assessment system,a new attribute reduction algorithm based on attribute unimportance is proposed.The algorithm uses the method of fusing the positive region ...
E Xu,TAN Yan,LI Jianrong,MAO Meijing,YANG Mingjing
doaj +1 more source
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 +4 more
doaj +1 more source
Attribute Reduction in an Incomplete Interval-Valued Decision Information System
IEEE Access, 2021 An incomplete interval-valued decision information system (IIVDIS) is a significant type of data decision table, which is ubiquitous in real life. Interval value is a form of knowledge representation, and it seems to be an embodiment of the uncertainty ...
Yiying Chen, Zhaowen Li, Gangqiang Zhang
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
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 +4 more
doaj +1 more source
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
A Novel Multi-Criteria Decision-Making Method Based on Rough Sets and Fuzzy Measures
Axioms, 2022 Rough set theory provides a useful tool for data analysis, data mining and decision making. For multi-criteria decision making (MCDM), rough sets are used to obtain decision rules by reducing attributes and objects.
Jingqian Wang, Xiaohong Zhang
doaj +1 more source