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Knowledge Based Systems
IF
5.10
Papers
4448
Papers 4353
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Published on May 1, 2019in Knowledge Based Systems 5.10
Tingting Zhu , Xinyu Peng + 2 AuthorsYan Chen2
Estimated H-index: 2
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Published on May 1, 2019in Knowledge Based Systems 5.10
Fabrício Maciel Gomes5
Estimated H-index: 5
,
Félix Monteiro Pereira3
Estimated H-index: 3
+ 1 AuthorsMessias Borges Silva9
Estimated H-index: 9
Abstract Multiple responses optimization (MRO) consists in the search for the best settings in an problem with conflicting responses. MRO is performed following the steps: experimental design; experimental data gathering; mathematical models building; statistical validation of models; agglutination of the models responses in only one function to be optimized; optimization of agglutinated function; experimental validation of the best conditions. This work selected two MRO cases from literature ai...
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Published on May 1, 2019in Knowledge Based Systems 5.10
Priyanka Das1
Estimated H-index: 1
,
Asit Kumar Das7
Estimated H-index: 7
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Published on May 1, 2019in Knowledge Based Systems 5.10
Yiyu Yao65
Estimated H-index: 65
(University of Regina),
Yiyu Yao
Abstract This paper introduces a model of three-way conflict analysis by reformulating and extending the original model by Pawlak. The proposed model is based on the philosophy, methodology, and mechanism of thinking and processing in threes of a theory of three-way decision. We examine a trisection of agents and a trisection of pairs of agents, as well as their relationships. We adopt a hexagon to represent geometrically a trisection, which gives an intuitive and effective tool for studying thr...
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Published on May 1, 2019in Knowledge Based Systems 5.10
Kenichi Fukui36
Estimated H-index: 36
,
Yoshiyuki Okada2
Estimated H-index: 2
+ 1 AuthorsMasayuki Numao13
Estimated H-index: 13
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Published on May 1, 2019in Knowledge Based Systems 5.10
Péter Piros1
Estimated H-index: 1
,
Tamás Ferenci7
Estimated H-index: 7
+ 5 AuthorsAndrás Jánosi16
Estimated H-index: 16
Abstract The objective of the current study is to compare the relative performance of decision tree, neural network, and logistic regression for predicting 30-day and 1-year mortality in a real-word, unfiltered dataset ( n = 47 , 391 ) of patients hospitalized with acute myocardial infarction. Area under the ROC curve (AUC) was used for evaluating performance of a learning algorithm. For 30-day mortality, we achieved an average of 0.788 for decision tree models, 0.837 for neural net models and 0...
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Published on May 1, 2019in Knowledge Based Systems 5.10
Ming Tang1
Estimated H-index: 1
,
Xiaoyang Zhou2
Estimated H-index: 2
+ 3 AuthorsFrancisco Herrera Clavero108
Estimated H-index: 108
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