Results 31 to 40 of about 5,279,386 (290)
A Neighborhood Rough Classification with Dempster-Shafer Evidence Theory
Nantong Daxue xuebao. Ziran kexue ban, 2021 In order to further improve the classification mechanism and the performance of neighborhood classifier, a Dempster-Shafer(D-S) evidence-driven neighborhood rough classification method is proposed.
JU Hengrong; DING Weiping; YIN Tao; FAN Zhe; LIU Jiubing
doaj +1 more source
An Ensemble Classification Method for High-Dimensional Data Using Neighborhood Rough Set
Complexity, 2021 Mining useful knowledge from high-dimensional data is a hot research topic. Efficient and effective sample classification and feature selection are challenging tasks due to high dimensionality and small sample size of microarray data.
Jing Zhang +3 more
doaj +1 more source
Six-Set Approximation Theorem of neighborhood related rough sets
International Journal of Approximate Reasoning, 2019 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Liwen Ma, Hui Lu
openaire +3 more sources
Complex & Intelligent Systems, 2023 Fuzzy rough set models are useful tools for dealing with fuzzy and real-valued data. They have been used in many real-world applications. In this paper, we investigate the fuzzy rough set model based on triangular norms and fuzzy implications.
Zhaohao Wang
doaj +1 more source
Multi-Label Attribute Reduction Based on Variable Precision Fuzzy Neighborhood Rough Set
IEEE Access, 2020 Multi-label attribute reduction as a common dimensionality reduction technique has obtained widely research in recent years. Most existing multi-label attribute reduction methods adopt discretization to deal with mixed data and have strict requirements ...
Panpan Chen, Menglei Lin, Jinghua Liu
doaj +1 more source
A fuzzy rough copula Bayesian network model for solving complex hospital service quality assessment
Complex & Intelligent Systems, 2023 Healthcare tends to be one of the most complicated sectors, and hospitals exist at the core of healthcare activities. One of the most significant elements in hospitals is service quality level.
He Li +6 more
doaj +1 more source
A Unified Granular-ball Learning Model of Pawlak Rough Set and Neighborhood Rough Set
, 2022 Pawlak rough set and neighborhood rough set are the two most common rough set theoretical models. Pawlak can use equivalence classes to represent knowledge, but it cannot process continuous data; neighborhood rough sets can process continuous data, but ...
Yu, Jianhang +7 more
core
FEBS Letters, EarlyView.We present robust protocols for the preparation of supported lipid bilayers (SLBs) incorporating either Salmonella smooth LPS or outer membrane vesicles (OMVs). We use a combination of quartz crystal microbalance with dissipation (QCM‐D) and fluorescence microscopy to both characterize the SLBs of various compositions and to probe their interactions ...
Hudson P. Pace +6 more
wiley +1 more source
Neutrosophic Soft Rough Topology and its Applications to Multi-Criteria Decision-Making [PDF]
Neutrosophic Sets and Systems, 2020 In this manuscript, we introduce the notion of neutrosophic soft rough topology (NSRtopology) defined on neutrosophic soft rough set (NSR-set).
Muhammad Riaz +4 more
doaj +1 more source
, 2008 Rough set theory (RST), since its introduction in Pawlak (1982), continues to develop as an effective tool in classification problems and decision support. In the majority of applications using RST based methodologies, there is the construction of ‘if ..
Beynon, Malcolm James, Malcolm J. Beynon
core +1 more source