Open AccessJournal Article
Decision Tree Constructing Algorithm Based on Rough Set
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TL;DR: A decision tree classification algorithm based on rough set is proposed, which takes the weighted classification rough degree as the heuristic function of choosing attribute at a node and is simple in calculation.
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Abstract: Aiming at the problems of complex and low efficiency decision tree constructed by ID3,this paper proposes a decision tree classification algorithm based on rough set,which takes the weighted classification rough degree as the heuristic function of choosing attribute at a node. This heuristic function can synthetically measure contribution of an attribute for classification,and is simple in calculation. To eliminate the effect of noise data on choosing attributes and generating leaf nodes,a method using variable precision rough set model is used to optimize the algorithm. Experimental results show that the size of trees generated by the new algorithm is smaller and higher accuracy than ID3 algorithm.
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Citations
Study on inferring interwell connectivity of injection-production system based on decision tree
Maojun Cao,Fuhua Shang +1 more
- 23 Jul 2013
TL;DR: An automatic identification method based on decision tree is proposed in this paper, which used CART algorithm to construct a decision tree, analysized the data of oilfield development to extract potential knowledge and established the direct mapping between logging data and interwell connectivity of injection wells and production wells.
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Decision Tree Construction Algorithm Based on Multiscale Rough Set Model
Jiajun Chen,Shoubao Su,Huali Xu +2 more
- 21 Oct 2011
TL;DR: The results show that decision tree structure constructed by this algorithm is simple, and has certain degree of anti-interference and can meet the decision accuracy requirements from different users.
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Multivariate Decision Tree Algorithm Based on Rough Set
TL;DR: The paper puts forward the multivariable decision tree algorithm which based on a rough set to a combination of rough sets theory and decision Tree algorithm which has reduced the complexity of decision tree while not affect the readability of the classification rules.
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Research of the Case Retrieval Model Based on CBR
Youfen Chen
- 16 Jan 2013
TL;DR: The retrieval model proposed in this paper integrates the decision three approaches of multi-concept-learning decision tree algorithm, multi-dimension weighted similar degree and fuzzy synthesis evaluation, which, in essence, is a mergence of inductive method and adjacent method.
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