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Published in 2020 at "Soft Computing"
DOI: 10.1007/s00500-020-05023-2
Abstract: In numerous real-world problems, we are faced with difficulties in learning from imbalanced data. The classification performance of a “standard” classifier (learning algorithm) is evidently hindered by the imbalanced distribution of data. The over-sampling and…
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Keywords:
information granules;
information;
imbalanced data;
data classification ... See more keywords
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Published in 2017 at "International Journal of Machine Learning and Cybernetics"
DOI: 10.1007/s13042-015-0386-x
Abstract: Data analysis especially data with space and time feature in a human-centric way requires interpretable representation of data. With this motivation, we present a granular way of data analysis in which the data and the…
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Keywords:
data relationship;
information granules;
relationship using;
information ... See more keywords
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Published in 2017 at "International Journal of Fuzzy Systems"
DOI: 10.1007/s40815-016-0242-5
Abstract: Linguistic representations by human brain are often characterized with an intertwined combination of imprecision (due to incomplete knowledge), vagueness, or uncertainty. A powerful framework of information and probabilistic information granules is proposed to model this…
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Keywords:
information granules;
information;
uncertainty;
information probabilistic ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3009541
Abstract: In data science, how to depict data in the concise and comprehensive way is an important issue. To address the issue, the key is to construct descriptors that are highly interpretable and can be used…
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Keywords:
distance;
information granules;
description data;
distance measures ... See more keywords
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Published in 2020 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2020.3021004
Abstract: Information granulation and degranulation play a fundamental role in granular computing (GrC). Given a collection of information granules (referred to as reference information granules), the essence of the granulation process (encoding) is to represent each…
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Keywords:
process;
granulation degranulation;
granulation;
information granules ... See more keywords
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Published in 2022 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2022.3163350
Abstract: A visible trend in representing knowledge through information granules manifests in the developments of information granules of higher type and higher order, in particular, type-2 fuzzy sets and order-2 fuzzy sets. All these constructs are…
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Keywords:
distance;
order;
fuzzy sets;
order information ... See more keywords
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Published in 2018 at "IEEE Transactions on Fuzzy Systems"
DOI: 10.1109/tfuzz.2017.2649581
Abstract: In this study, we present a methodology of building a hierarchical framework of system modeling by engaging concepts and design methodology of granular computing. We demonstrate that it arises as a result of designing and…
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Keywords:
information granules;
methodology;
information;
system modeling ... See more keywords
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Published in 2022 at "IEEE Transactions on Fuzzy Systems"
DOI: 10.1109/tfuzz.2021.3076265
Abstract: Anomaly (outlier) detection is one of the most important problems of modern data analysis. The sources of anomalies are varying. They can be the results of database users’ mistakes, operational errors, or just missing values.…
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Keywords:
detection classification;
detection;
large datasets;
information granules ... See more keywords
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Published in 2022 at "IEEE Transactions on Fuzzy Systems"
DOI: 10.1109/tfuzz.2021.3138627
Abstract: Information granules can discover interpretable and meaningful relationships offering a full description for time series. This article presents an information granulation method with rectangular information granules and applies it to time-series similarity measurement. First, the…
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Keywords:
information;
information granules;
rectangular information;
time series ... See more keywords
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Published in 2022 at "IEEE Transactions on Fuzzy Systems"
DOI: 10.1109/tfuzz.2022.3179586
Abstract: Numeric models (including fuzzy models) produce numeric results. There are no ideal models that deliver a complete match with the data. In this study, we advocate that a way of evaluating the quality of models…
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Keywords:
information;
information granules;
evaluating quality;
prediction information ... See more keywords