Open AccessJournal Article
Attribute reduction algorithm for rough set based on improving genetic algorithm
1
TL;DR: An effective heurisitic genetic algorithm is proposed that can calculate minimal reduction of decision charts quickly and effectively and has global optimizing ability.
read more
Abstract: An attribute reduction is the main content which the rough set theory studies,and the goal is to achieve the minimal reduciton of the attributes efficitively in a decision table.Based on analysis of attribute reduction and genetic algorithm and regarding the significance of attributes as heuristic information,the heuristic information is introduced into genetic algorithm,and an effective heurisitic genetic algorithm is proposed.A new mutate operator is used for introducing the heurisitic information and the operator is a local research method using heurisitic information.So the algorithm converges quickly and has global optimizing ability.The results show that the method can calculate minimal reduction of decision charts quickly and effectively.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
Application of Variable Precision Rough Set and Integrated Neural Network to Bearing Fault Diagnosis
Xiao Ling Niu,Bo Liu,Ke Zhang Lin +2 more
- 01 Aug 2013
TL;DR: VPRS-INN fault diagnosis method is proposed: First, utilize the information entropy method for discretization of continuous attributes, and then use attribute dependence degree of the variable precision rough set theory for heuristic reduction for optimal decision support system.
2
References
Application of Variable Precision Rough Set and Integrated Neural Network to Bearing Fault Diagnosis
Xiao Ling Niu,Bo Liu,Ke Zhang Lin +2 more
- 01 Aug 2013
TL;DR: VPRS-INN fault diagnosis method is proposed: First, utilize the information entropy method for discretization of continuous attributes, and then use attribute dependence degree of the variable precision rough set theory for heuristic reduction for optimal decision support system.
2