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Decision Tree Construction from Knowledge Discovered by Rough Sets Theory
Proceedings of the … International Conference on Operational Research, 2008Decision Tree Construction from Knowledge Discovered by Rough Sets ...
Vrbka, Jasna, Dalbelo Bašić, Bojana
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An Integration of Cloud Transform and Rough Set Theory to Induction of Decision Trees
Fundamenta Informaticae, 2009Decision trees are one of the most popular data-mining techniques for knowledge discovery. Many approaches for induction of decision trees often deal with the continuous data and missing values in information systems. However, they do not perform well in real situations.
Song, Jing, Li, Tianrui, Ruan, Da
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NB Tree Based Intrusion Detection Technique Using Rough Set Theory Model
2019Security is an important need for any organization to establish trust and consequently prevents misuse. Intrusion detection system (IDS) is a defense mechanism that strives to differentiate between legitimate and malicious activities with intent to secure the resource and henceforth establish trust. Due to this importance significant amount of research
Neha Gupta +3 more
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Axiomatic fuzzy set theory-based fuzzy oblique decision tree with dynamic mining fuzzy rules
Neural Computing and Applications, 2019This paper proposes a novel classification technology—fuzzy rule-based oblique decision tree (FRODT). The neighborhood rough sets-based FAST feature selection (NRS_FS_FAST) is first introduced to reduce attributes. In the axiomatic fuzzy set theory framework, the fuzzy rule extraction algorithm is then proposed to dynamically extract fuzzy rules.
Yuliang Cai +4 more
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Power transformer failure analysis using interval type-2 fuzzy set theory based fault tree analysis
2016 IEEE 7th Power India International Conference (PIICON), 2016Reliable power supply depends on proper equipment functioning. Power transformer keeps up voltage and power level of the system. Power transformer failure is caused by insulation failure, low voltage bushing, frequent tap change, tank leakage etc. These causes are analysed with the help of probability of occurrence of each event.
Rituparna Mitra +3 more
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2007 International Conference on Intelligent Systems Applications to Power Systems, 2007
The fault detection and analysis for power transformer are the key measures to improve the security of power systems and the reliability of power supply. Due to the complicity of the power transformer structure and the variations in operating conditions, the occurrence of a fault inside power transformer is uncertain and random.
Tong Wu, Guangyu Tu, Z Q Bo, A Klimek
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The fault detection and analysis for power transformer are the key measures to improve the security of power systems and the reliability of power supply. Due to the complicity of the power transformer structure and the variations in operating conditions, the occurrence of a fault inside power transformer is uncertain and random.
Tong Wu, Guangyu Tu, Z Q Bo, A Klimek
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Reduct Generation by Formation of Directed Minimal Spanning Tree Using Rough Set Theory
2012In recent years, dimension of datasets has increased rapidly in many applications which bring great difficulty to data mining and pattern recognition. Also, all the measured variables of these high-dimensional datasets are not relevant for understanding the underlying phenomena of interest.
Asit Kumar Das +2 more
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The Construction of Decision Tree Information Processing System Based on Rough Set Theory
2010 Third International Symposium on Information Processing, 2010The 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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Parameter trees based on soft set theory and their similarity measures
Soft Computing, 2022Faruk Karaaslan, Naim Çağman
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An Improved Decision Tree Algorithm Using Rough Set Theory in Clinical Decision Support System
2012In 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
Qingshan Li, Jian’guo Zhang, Hua Chu
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