Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Multi-source information fusion based on rough set theory: A review
Abstract Multi-Source Information Fusion (MSIF) is a comprehensive and interdisciplinary
subject, and is referred to as, multi-sensor information fusion which was originated in the …
subject, and is referred to as, multi-sensor information fusion which was originated in the …
Security data collection and data analytics in the internet: A survey
Attacks over the Internet are becoming more and more complex and sophisticated. How to
detect security threats and measure the security of the Internet arises a significant research …
detect security threats and measure the security of the Internet arises a significant research …
Feature selection based on neighborhood self-information
The concept of dependency in a neighborhood rough set model is an important evaluation
function for the feature selection. This function considers only the classification information …
function for the feature selection. This function considers only the classification information …
A survey on data fusion in internet of things: Towards secure and privacy-preserving fusion
Abstract Internet of Things (IoT) aims to create a world that enables the interconnection and
integration of things in physical world and cyber space. With the involvement of a great …
integration of things in physical world and cyber space. With the involvement of a great …
Fuzzy rough set-based attribute reduction using distance measures
Attribute reduction is one of the most important applications of fuzzy rough sets in machine
learning and pattern recognition. Most existing methods employ the intersection operation of …
learning and pattern recognition. Most existing methods employ the intersection operation of …
Fuzzy rough attribute reduction for categorical data
Classical rough set theory is considered a useful tool for dealing with the uncertainty of
categorical data. The major deficiency of this model is that the classical rough set model is …
categorical data. The major deficiency of this model is that the classical rough set model is …
Feature selection with fuzzy-rough minimum classification error criterion
C Wang, Y Qian, W Ding, X Fan - IEEE Transactions on Fuzzy …, 2021 - ieeexplore.ieee.org
Classical fuzzy rough set often uses fuzzy rough dependency as an evaluation function of
feature selection. However, this function only retains the maximum membership degree of a …
feature selection. However, this function only retains the maximum membership degree of a …
A regret-based three-way decision model under interval type-2 fuzzy environment
Three-way decision provides a new perspective for dealing with uncertainty and complexity
in decision-making problems. However, behaviors of decision-makers may be influenced by …
in decision-making problems. However, behaviors of decision-makers may be influenced by …
[HTML][HTML] Attribute reduction based on k-nearest neighborhood rough sets
Neighborhood rough sets are widely used as an effective tool to deal with numerical data.
However, most of the existing neighborhood granulation models cannot well describe the …
However, most of the existing neighborhood granulation models cannot well describe the …
Information fusion for edge intelligence: A survey
Edge intelligence capability is expected to enable the development of a new paradigm
integrated with edge computing and artificial intelligence. However, due to the multisource …
integrated with edge computing and artificial intelligence. However, due to the multisource …