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Information granulation-based fuzzy partition in decision tree induction

Information Sciences, 2022
Yashuang Mu, Hongyue Guo, Lidong Wang
exaly   +2 more sources

Information Granulation-Based Fuzzy Clustering of Time Series

IEEE Transactions on Cybernetics, 2021
In this article, we propose a two-stage time-series clustering approach to cluster time series with different shapes. The first step is to represent the time series by a suite of information granules following the principle of justifiable granularity to perform dimensionality reduction, while the second step is to realize the fuzzy clustering of the ...
Hongyue Guo   +3 more
openaire   +2 more sources

Optimized fuzzy information granulation of temporal data

2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010
It accords with the human's intelligence for data processing that we do information granulation of time series and then study and analyze the time series on the different level of granularities. There are two kinds of traditional methods for the information granulation of temporal data.
Fusheng Yu, Ruiqiong Cai
openaire   +1 more source

Information granulation for rough fuzzy hypergraphs

Granular Computing, 2017
Rough-granular computing is a basic model for applying the concept of both rough set theory and granular computing methodology into different knowledge discovery processes; to classify data sets. In the literature, authors have used techniques of rough-granular computing which involve the construction of certain generalizations of Pawlak’s rough set ...
Tamunokuro Opubo William-West   +1 more
openaire   +1 more source

Temporal fuzzy association rules mining based on fuzzy information granulation

2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD), 2017
In this paper, we developed a sound conceptual framework for temporal fuzzy association rules mining based on fuzzy information granulation. First, the definition of the support rate of traditional fuzzy association rules is extended to the temporal data, including the fuzzy support rate of both continuous and discontinues temporal fuzzy item set and ...
Zebang Li, Fan Bu, Fusheng Yu
openaire   +1 more source

Structural developments of fuzzy systems with the aid of information granulation

Simulation Modelling Practice and Theory, 2007
Abstract We introduce a design procedure for fuzzy systems using the concept of information granulation and genetic optimization. Information granulation and resulting information granules themselves become an important design aspect of fuzzy models.
Sung-Kwun Oh   +2 more
openaire   +1 more source

DCf: a double clustering framework for fuzzy information granulation

2005 IEEE International Conference on Granular Computing, 2005
In this paper, we present a framework for extracting well-defined and semantically sound information granules. The framework is mainly centered on a double clustering process, hence, it is called DCf (double clustering framework). A first clustering process identifies cluster prototypes in the multidimensional data space, then the projections of these ...
Giovanna Castellano   +2 more
openaire   +1 more source

The modeling of time series based on fuzzy information granules

Expert Systems with Applications, 2014
A lot of research has resulted in many time series models with high precision forecasting realized at the numerical level. However, in the real world, higher numerical precision may not be necessary for the perception, reasoning and decision-making of human.
Wei Lu 0005   +4 more
openaire   +1 more source

Spatial–temporal fuzzy information granules for time series forecasting

Soft Computing, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yuanyuan Zhao   +2 more
openaire   +2 more sources

On the Dissimilarity of Fuzzy Information Granules

Proceedings of The Eighteenth International Conference on Fuzzy Set Theory and Applications
This work is supported from the project “Research of Excellence on Digital Technologies and Wellbeing CZ.02.01.01/00/22 008/0004583” which is co-financed by the European Union. Katarzyna Kaczmarek-Majer acknowledge support from the project “ExplainMe: Explainable Artificial Intelligence for Monitoring Acoustic Features extracted from Speech” (FENG.02 ...
Kaczmarek-Majer Katarzyna   +1 more
openaire   +2 more sources

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