Results 261 to 270 of about 1,072,947 (315)

A Contribution to Decision Tree Construction Based on Rough Set Theory

2004
In this paper, the algorithm of building a decision tree is introduced by comparing the information gain or entropy. The produced process of univariate decision tree is given as an example. According to rough sets theory, the method of constructing multivariate decision tree is discussed.
Xumin Liu, Houkuan Huang, Weixiang Xu
openaire   +1 more source

A fast algorithm for attribute reduction based on Trie tree and rough set theory

SPIE Proceedings, 2013
Attribute reduction is an important issue in rough set theory. Many efficient algorithms have been proposed, however, few of them can process huge data sets quickly. In this paper, combining the Trie tree, the algorithms for computing positive region of decision table are proposed.
Feng Hu, Xiao-yan Wang, Chuan-jiang Luo
openaire   +1 more source

Fuzzy Set Theory and Fault Tree Analysis based Method Suitable for Fault Diagnosis of Power Transformer

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
openaire   +1 more source

Reduct Generation by Formation of Directed Minimal Spanning Tree Using Rough Set Theory

2012
In 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, Shampa Sengupta, Saikat Chakrabarty   +2 more
openaire   +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.
openaire   +1 more source

Parameter trees based on soft set theory and their similarity measures

Soft Computing, 2022
Faruk Karaaslan, Naim Çağman
openaire   +1 more source

An Improved Decision Tree Algorithm Using Rough Set Theory in Clinical Decision Support System

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
Qingshan Li, Jian’guo Zhang, Hua Chu
openaire   +1 more source

An Intelligent Stock-Selecting System Based on Decision Tree Combining Rough Sets Theory

2013
This 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.
openaire   +1 more source

Using Rough Set Theory and Decision Trees to Diagnose Enterprise Distress – Consideration of Corporate Governance Variables

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, Der-Jang Chi, Chun-Yi Kuo   +2 more
openaire   +1 more source

Monotonic decision trees on rough set theory in machine learning approach

Communication and Computing Systems, 2016
Aarushi Singh, Anurag Baghel
openaire   +1 more source