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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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An Intelligent Stock-Selecting System Based on Decision Tree Combining Rough Sets Theory
2013This study presents a stock selective system by using hybrid models to look for sound financial companies that are really worth making investment in stock markets. The following are three main steps in this study: First, we utilize rough sets theory to sift out the core of the financial indicators affecting the ups and downs of a stock price.
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2014
This study discusses the key factors of financial distress warning models for companies using corporate governance variables and financial ratios as the research variables, sieving out influential variables based on the attribute simplification process of rough set theory (RST).
Fu Hsiang Chen +2 more
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This study discusses the key factors of financial distress warning models for companies using corporate governance variables and financial ratios as the research variables, sieving out influential variables based on the attribute simplification process of rough set theory (RST).
Fu Hsiang Chen +2 more
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Monotonic decision trees on rough set theory in machine learning approach
Communication and Computing Systems, 2016Aarushi Singh, Anurag Baghel
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Developing and Applying IR-Tree Models: Guidelines, Caveats, and an Extension to Multiple Groups
Organizational Research Methods, 2021Hansjörg Plieninger
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