Results 31 to 40 of about 2,610,867 (326)
An Algorithm on the Parameter Reduction of Soft Sets
Fuzzy Information and Engineering, 2016 Soft set theory is a mathematical tool for dealing with uncertain. In this paper, the parameter reduction of soft sets is investigated by means of the attribute reduction in information systems and its algorithm is obtained. Moreover, an example is given
Ning-Xin Xie
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Switching Control for Parameter Identifiability of Uncertain Systems
, 2015 This paper considers the problem of identifying the parameters of an uncertain linear system by means of feedback control. The problem is approached by considering time-varying controllers.
Battistelli, G., Tesi, P.
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Set-membership parity space hybrid system diagnosis [PDF]
, 2016 In this paper, diagnosis for hybrid systems using a parity space approach that considers model uncertainty is proposed. The hybrid diagnoser is composed of modules which carry out the mode recognition and diagnosis tasks interacting each other, since the
Blesa, Joaquim +3 more
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Heuristic Approaches to Attribute Reduction for Generalized Decision Preservation
Applied Sciences, 2019 Attribute reduction is a challenging problem in rough set theory, which has been applied in many research fields, including knowledge representation, machine learning, and artificial intelligence.
Nan Zhang, Xueyi Gao, Tianyou Yu
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Another View on Picture Fuzzy Soft Sets and Their Product Operations with Soft Decision-Making
Journal of New Theory, 2022 Cuong [Picture Fuzzy Sets, Journal of Computer Science and Cybernetics 30 (4) (2014) 409–420] has introduced the concept of picture fuzzy soft sets (pfs-sets) relying on his definition and operations of picture fuzzy sets (pf -sets), in which there exist
Samet Memiş
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Detecting Topology Variations in Dynamical Networks
, 2015 This paper considers the problem of detecting topology variations in dynamical networks. We consider a network whose behavior can be represented via a linear dynamical system.
Battistelli, G., Tesi, P.
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, 2008 We propose a method for characterizing large complex networks by introducing a new matrix structure, unique for a given network, which encodes structural information; provides useful visualization, even for very large networks; and allows for rigorous ...
+12 more
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Molecular Oncology, EarlyView.This study shows that copy number variations (CNVs) can be reliably detected in formalin‐fixed paraffin‐embedded (FFPE) solid cancer samples using ultra‐low‐pass whole‐genome sequencing, provided that key (pre)‐analytical parameters are optimized.
Hanne Goris +10 more
wiley +1 more source
Dealing with Missing Data using a Selection Algorithm on Rough Sets
International Journal of Computational Intelligence Systems, 2018 This paper discusses the so-called missing data problem, i.e. the problem of imputing missing values in information systems. A new algorithm, called the ARSI algorithm, is proposed to address the imputation problem of missing values on categorical ...
Jonathan Prieto-Cubides, Camilo Argoty
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Attribute Reduction in Incompleteness and Inconsistent Decision Table Under Grey Dominance Relation [PDF]
Jisuanji gongcheng, 2017 For attribute reduction problem in inconsistent decision table whose attribute values are three-parameter interval grey numbers,two attribute reduction algorithms are presented.According to the preference between grey information,a grey dominance ...
LUO Dang,MAO Wenxin,SUN Huifang
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