Results 41 to 50 of about 117,187 (270)
Attribute reduction relies on knowledge granulation and uncertainty measurement, thus facilitating intelligent recognition. For incomplete continuous data, neighborhood decision rough sets induce attribute reduction.
ZHANG Wanxiang +3 more
doaj +1 more source
Pancreatic sensory neurons innervating healthy and PDAC tissue were retrogradely labeled and profiled by single‐cell RNA sequencing. Tumor‐associated innervation showed a dominant neurofilament‐positive subtype, altered mitochondrial gene signatures, and reduced non‐peptidergic neurons.
Elena Genova +14 more
wiley +1 more source
Information Flow Model for Commercial Security [PDF]
Information flow in Discretionary Access Control (DAC) is a well-known difficult problem. This paper formalizes the fundamental concepts and establishes a theory of information flow security.
Pan, Jene
core +1 more source
Stable attribute reduction for neighborhood rough set
In neighborhood rough set theory, traditional heuristic algorithm for computing reducts does not take the stability of the selected attributes into account, it follows that the performances of the reducts may not be good enough if the perturbations of data occur.
Liang, Shaochen +3 more
openaire +3 more sources
Chemoresistance in bladder cancer: Macrophage recruitment associated with CXCL1, CXCL5 and CXCL8 expression is characteristic of Gemcitabine/Cisplatin (Gem/Cis) Non‐Responder tumors (right side) while Responder tumors did not show substantial tumor‐stromal crosstalk (left side). All biological icons are attributed to Bioicons: carcinoma, cancerous‐cell‐
Sophie Leypold +11 more
wiley +1 more source
Parallel Attribute Reduction Algorithm for Complex Heterogeneous Data Using MapReduce
Parallel attribute reduction is one of the most important topics in current research on rough set theory. Although some parallel algorithms were well documented, most of them are still faced with some challenges for effectively dealing with the complex ...
Tengfei Zhang +4 more
doaj +1 more source
Multilabel Feature Selection Based on Fisher Score with Center Shift and Neighborhood IntuitionisticFuzzy Entropy [PDF]
The edge samples in the existing multilabel Fisher score models affect the classification effect of the algorithm.It has the available virtues of stronger expression and resolution when using neighborhood intuitive fuzzy entropy to deal with uncertain ...
SUN Lin, MA Tianjiao
doaj +1 more source
Three-Way Decisions Making Using Covering Based Fractional Orthotriple Fuzzy Rough Set Model
On the basis of decision-theoretical rough sets (DTRSs), the three-way decisions give new model of decision approach for deal with the problem of decision. This proposed model of decision method is based on the loss function of DTRSs.
Shougi S. Abosuliman +2 more
doaj +1 more source
Relationship Extraction and Processing for Knowledge Graph of Welding Manufacturing
Acquiring welding domain relationships and forming a knowledge graph can positively impact complex engineering problem solving and intelligent manufacturing applications. However, relationships are lacking in the welding domain.
Kainan Guan, Liang Du, Xinhua Yang
doaj +1 more source
Interval neutrosophic covering rough sets based on neighborhoods
Covering rough set is a classical generalization of rough set. As covering rough set is a mathematical tool to deal with incomplete and incomplete data, it has been widely used in various fields. The aim of this paper is to extend the covering rough sets to interval neutrosophic sets, which can make multi-attribute decision making problem more ...
Dongsheng Xu, Huaxiang Xian, Xiewen Lu
openaire +2 more sources

