Results 1 to 10 of about 2,610,867 (326)
Soft Incomplete Discernibility Matrix for Decision-Making Problems
IEEE Access, 2018 Many decision-making processes are determined in an incomplete data environment. The analysis of decision-making problems on incomplete soft set data is usually performed by first estimating incomplete values.
Lue Li +3 more
doaj +3 more sources
Discernibility of the Interdigitation Zone (IZ), a Potential Optical Coherence Tomography (OCT) Biomarker for Visual Dysfunction in Aging. [PDF]
Curr Eye Res, 2023 Purpose Photoreceptor (PR) outer segments, retinal pigment epithelium apical processes, and inter-PR matrix contribute to the interdigitation zone (IZ) of optical coherence tomography (OCT).
Berlin A +9 more
europepmc +2 more sources
Accelerated Feature Selection via Discernibility Hashing: A Rough Set Approach [PDF]
EntropyAs a foundational analytical tool, the discernibility matrix plays a pivotal role in the systematic reduction of knowledge in rough set-based systems. Recent advancements in rough set theory have witnessed the proliferation of discernibility matrix-based
Sheng Luo +3 more
doaj +2 more sources
Information, 2018 The binary discernibility matrix, originally introduced by Felix and Ushio, is a binary matrix representation for storing discernible attributes that can distinguish different objects in decision systems. It is an effective approach for feature selection,
Nan Zhang +3 more
doaj +2 more sources
Discernibility Matrix and Its Application in Logical Optimization
Jisuanji kexue yu tansuo, 2021 The simplification of truth table is of great significance to the analysis and design of logic circuits. In this paper, the simplification of truth table is studied, and a method of GDM (granular discernibility matrix) that uses discernibility matrix is ...
YAN Xinyi, WEN Xin, CHEN Zehua
doaj +2 more sources
Energies, 2018 In machine learning-based transient stability assessment (TSA) problems, the characteristics of the selected features have a significant impact on the performance of classifiers.
Bingyang Li, Jianmei Xiao, Xihuai Wang
doaj +2 more sources
Soft discernibility matrix and attribute reduction for information systems
Tongxin xuebao, 2009 A new concept of soft discernibility matrix was proposed, and related theorems were given. By using soft discernibility matrix,attribute reductions of incomplete information systems, fuzzy value information systems and vague sets value information ...
YAN De-qin1, LI Ke-qiu2, CHI Zhong-xian2
doaj +3 more sources
Reduct Generation from Binary Discernibility Matrix: An Hardware Approach
International Journal of Future Computer and Communication, 2012 Abstract—Rough set theory is a powerful mathematical tool used for extracting useful rules from a huge database. We have proposed a Rough Set Machine which generates rules for classification applications. The classification task concentrates on predicting the value of the decision class for an object among a predefined set of classes' values.
Kanchan S. Tiwari +2 more
openaire +2 more sources
Rule Acquisition Algorithm Based on Enriching Discernibility Matrix [PDF]
Jisuanji gongcheng, 2016 Currently,the discernibility matrix method which is based on HU is not only time-consuming but also takes up a lot of storage space,so that the efficiency of the method is not high.Some scholars use the method of pairwise comparisons between elements to ...
ZHU Jinhu,XU Zhangyan,QIAO Lijuan,XIE Xiaojun,WANG Ting
doaj +1 more source
Using Covering Reduction to Identify Reducts for Object-Oriented Concept Lattices
Axioms, 2022 An object-oriented concept lattice, as an important generalization of classic concept lattices, is a bridge between formal concept analysis and rough set theory. This paper presents an application of covering reduction in formal concept analysis.
Guilong Liu
doaj +1 more source