A design of information granule-based under-sampling method in imbalanced data classification
Sign Up to like & getrecommendations! 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… read more here.
Keywords: information granules; information; imbalanced data; data classification ... See more keywords
Analysis of spatiotemporal data relationship using information granules
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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… read more here.
Keywords: data relationship; information granules; relationship using; information ... See more keywords
Representation of Uncertainty with Information and Probabilistic Information Granules
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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… read more here.
Keywords: information granules; information; uncertainty; information probabilistic ... See more keywords
Granular Description of Data: A Comparative Study Regarding to Different Distance Measures
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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… read more here.
Keywords: distance; information granules; description data; distance measures ... See more keywords
Optimization of Granulation-Degranulation Mechanism Through Neurocomputing.
Sign Up to like & getrecommendations! 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… read more here.
Keywords: process; granulation degranulation; granulation; information granules ... See more keywords
Computing and Clustering in the Environment of Order-2 Information Granules.
Sign Up to like & getrecommendations! 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… read more here.
Keywords: distance; order; fuzzy sets; order information ... See more keywords
Hierarchical System Modeling
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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… read more here.
Keywords: information granules; methodology; information; system modeling ... See more keywords
Detection and Classification of Anomalies in Large Datasets on the Basis of Information Granules
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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.… read more here.
Keywords: detection classification; detection; large datasets; information granules ... See more keywords
Information Granulation With Rectangular Information Granules and Its Application in Time-Series Similarity Measurement
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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… read more here.
Keywords: information; information granules; rectangular information; time series ... See more keywords
Evaluating Quality of Models via Prediction Information Granules
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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… read more here.
Keywords: information; information granules; evaluating quality; prediction information ... See more keywords