Results 251 to 260 of about 707,669 (303)

Induction of Decision Trees Based on the Rough Set Theory

1998
This paper aimed at two following objectives. One was the introduction of a new measure (R-measure) of dependency between groups of attributes in a data set, inspired by the notion of dependency of attribute in the rough set theory. The second was the application of this measure to the problem of attribute selection in decision tree induction, and an ...
Tu Bao Ho, Masayuki Kimura, Trong Dung Nguyen   +2 more
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Notice of Retraction: Algorithm of constructing decision tree based on rough set theory

2010 International Conference on Computer and Communication Technologies in Agriculture Engineering, 2010
Problem of classification is the main research target of many algorithms in machine learning and data mining. Of all the algorithms, decision tree is more preferred by researchers due to its clarity and readability. Attribute of little value domain is the important feature of training dataset of decision trees.
Chunxue Wei, Baowei Song
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Data-driven decision tree learning algorithm based on rough set theory

Proceedings of the 2005 International Conference on Active Media Technology, 2005. (AMT 2005)., 2005
Decision tree pre-pruning is an effective method to solve the over-fitting problem in decision tree learning process. However, it is difficult to estimate the exact time to stop the growing process of a decision tree, which limits the developments and applications of this method.
Guoyin Wang, Yu Wu, De-Sheng Yin
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An Application of Fuzzy Fault Tree Analysis for Reliability Evaluation of Wind Energy System

Journal of the Institution of Electronics and Telecommunication Engineers, 2020
In this paper, a fuzzy fault tree analysis technique for reliability evaluation of the wind energy system is presented. The technique combines the operational failures effect and the errors in the fuzzy environment for the wind energy system ...
Iram Akhtar, S. Kirmani
semanticscholar   +1 more source

Modelling the effect of forest site conditions on the ecophysiological suitability of tree species: an approach based on fuzzy set theory

Computers and Electronics in Agriculture, 2000
Manfred J. Lexer, Karl Hönninger, Harald Vacik   +2 more
openalex   +3 more sources

The Based on Rough Set Theory Development of Decision Tree after Redundant Dimensional Reduction

2015 Fifth International Conference on Advanced Computing & Communication Technologies, 2015
Decision tree technologists have been examined to be a helpful way to find out the human decision making within a host. Decision tree performs variable screening or feature selection. It requires relatively lesser effort from the users for the preparation of the data.
Priya Pal, Deepak Motwani
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An Improved Decision Tree Algorithm Using Rough Set Theory in Clinical Decision Support System [PDF]

, 2012
In the Clinical Decision Support System (CDSS), over-fitting phenomenon may appear when decision tree algorithm was used. For this problem, this paper will make use of the Rough Set theory to the training set for attribute reduction, the decision tree built by using the decision tree algorithm was used to predict the test data. In this paper, 46 copies
Hua Chu, Jian'guo Zhang, Qingshan Li
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Aronszajn trees and the SCH [PDF]

, 2012
These notes are based on results presented by Itay Neeman at the Appalachian Set Theory workshop on February 28, 2009. Spencer Unger was the official note-taker and based these notes closely on Neeman’s lectures. The purpose of the workshop was to present a recent theorem due to Neeman [16]. Theorem 1.
Itay Neeman, Spencer Unger
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Adapted fuzzy fault tree analysis for oil storage tank fire

Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 2018
Crude oil tank fire and explosion (COTFE) is one of the main risks to the occupational safety of oil storage tanks. Aiming to identify and assess the risk of COTFE, this article proposes a novel method of fuzzy fault tree analysis (FFTA) combined with ...
Younes Halloul, Samia Chiban, Adel Awad
semanticscholar   +1 more source

The Construction of Decision Tree Information Processing System Based on Rough Set Theory

2010 Third International Symposium on Information Processing, 2010
The article integrates decision tree with rough set, and it makes up of decision tree information processing system. Firstly it carries out pretreatment for information with rough set, which is regarded as front system of decision tree, and then forms student credit analysis system of decision tree with pretreated information.
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