Results 271 to 280 of about 10,905,813 (301)

Assessment of the potential applicability of fuzzy set theory to accident progression event trees with phenomenological uncertainties

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
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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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NB Tree Based Intrusion Detection Technique Using Rough Set Theory Model

2019
Security 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, Ritu Prasad, Praneet Saurabh, Bhupendra Verma   +3 more
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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.
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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
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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
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A New Method for Constructing Decision Tree Based on Rough Set Theory

2007 IEEE International Conference on Granular Computing (GRC 2007), 2007
Longjun Huang, Minghe Huang, Bin Guo, Zhiming Zhuang   +3 more
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Monotonic decision trees on rough set theory in machine learning approach

Communication and Computing Systems, 2016
Aarushi Singh, Anurag Baghel
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A Transformation Tree Based on Extension Set Theory

Annals of Data Science
Xingsen Li, Junwen Sun, Jiasheng Li, Yiqing Yan   +3 more
openaire   +1 more source

The boundary theory of a spinor field theory on the Bruhat-Tits tree

Physics Letters, Section B: Nuclear, Elementary Particle and High-Energy Physics, 2020
Feng Qu, Yi-hong Gao
exaly