Results 131 to 140 of about 81,087 (166)
Some of the next articles are maybe not open access.
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
openaire +2 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, 2015Decision 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
openaire +1 more source
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
openaire +1 more source
Reliability Engineering & System Safety, 1992
Abstract Expert opinion is frequently used in the risk analysis of nuclear power plant systems to assess, in particular, the probabilities of rare events. However, this procedure is always accompanied by imprecision and uncertainty that characterise the experts judgment. Since the fuzzy set theory provides a framework for dealing with such judgmental
Moon-Hyun Chun, Kwang-Il Ahn
openaire +1 more source
Abstract Expert opinion is frequently used in the risk analysis of nuclear power plant systems to assess, in particular, the probabilities of rare events. However, this procedure is always accompanied by imprecision and uncertainty that characterise the experts judgment. Since the fuzzy set theory provides a framework for dealing with such judgmental
Moon-Hyun Chun, Kwang-Il Ahn
openaire +1 more source
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.
openaire +1 more source
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
openaire +1 more source
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.
openaire +1 more source
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
openaire +1 more source
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
openaire +1 more source
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
openaire +1 more source
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
openaire +1 more source