Decision Tree Algorithm based on Granular Computing and Important Degree of Attribute Value

Decision Tree Algorithm based on Granular Computing and Important Degree of Attribute Value

Conventional decision tree algorithm employs information gain and information gain ratio to select splitting attribute, and avoid attribute value significance. According to the analysis on a single attribute decision-making problem, it is found that, different value of the same condition attribute h...

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Bibliographic Details
Main Authors: P. Liu, Z.G. Wu, L.C. Ge, H.C. Wang, J.P. Yang
Format: Article
Language:English
Published: AIDIC Servizi S.r.l. 2015-12-01
Series:Chemical Engineering Transactions
Online Access:https://www.cetjournal.it/index.php/cet/article/view/4226

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https://www.cetjournal.it/index.php/cet/article/view/4226

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