Results 261 to 270 of about 707,669 (303)

Contribution to Soft Graph and Soft Tree

New Mathematics and Natural Computation, 2018
Soft set theory introduced by D. Molodstov is a new theory which deals with uncertainty. Connected graphs can be represented by using soft sets called soft graphs.
Jyoti D. Thenge, B. Reddy, R. S. Jain
semanticscholar   +1 more source

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
Ritu Prasad, Neha Gupta, Praneet Saurabh, Bhupendra Verma   +3 more
openaire   +2 more sources

Axiomatic fuzzy set theory-based fuzzy oblique decision tree with dynamic mining fuzzy rules

Neural Computing and Applications, 2019
This 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, Huaguang Zhang, Shaoxin Sun, Xianchang Wang, Qiang He   +4 more
openaire   +2 more sources

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   +2 more sources

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   +2 more sources

Fault Tree Analysis Using Bayesian Optimization: A Reliable and Effective Fault Diagnosis Approaches

Journal of Failure Analysis and Prevention, 2021
Li Jinfei, Li Yinglei, M. Xueming, Wang Liang , Li Jielin   +4 more
semanticscholar   +1 more source

Application of fuzzy fault tree analysis based on modified fuzzy AHP and fuzzy TOPSIS for fire and explosion in the process industry

International Journal of Occupational Safety and Ergonomics, 2020
M. Yazdi, Orhan Korhan, S. Daneshvar
semanticscholar   +1 more source

Decision Tree Construction from Knowledge Discovered by Rough Sets Theory

Proceedings of the … International Conference on Operational Research, 2008
Decision Tree Construction from Knowledge Discovered by Rough Sets ...
Vrbka, Jasna, Dalbelo Bašić, Bojana
openaire   +2 more sources

An Improved Algorithm for CART Based on the Rough Set Theory

2013 Fourth Global Congress on Intelligent Systems, 2013
Weiguang Wang, Cong Wang, W. Gao, Jinbin Li   +3 more
semanticscholar   +1 more source

Monotonic decision trees on rough set theory in machine learning approach

Communication and Computing Systems, 2016
Anurag Baghel, Aarushi Singh
openaire   +2 more sources