Results 251 to 260 of about 169,052 (301)

Information Granules for Spatial Reasoning

2000
The authors consider schemes of approximate reasoning approaches to transforming of information granules from different information sources. By tuning the parameters of schemes, the information granules representing patterns relevant to given tasks can be generated.
Andrzej Skowron, Jaroslaw Stepaniuk, Shusaku Tsumoto   +2 more
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The information granulation in discretization

Proceedings of the 2003 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.03EX693), 2004
Discretization is a vehicle of abstraction that supports a conversion of clouds of numeric data into more tangible information granules, which can be represented as hyper-boxes in R". A partial ordering of all discretization schemes for a given information table is defined to describe the relative granularity. All discretized tables form a hierarchical
null Li-Hong Wang, null Shu-Cui Zhang, null Hui Fan, null Geng-Feng Wu   +3 more
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Tolerance Information Granules

2006
In this paper we discuss tolerance information granule systems. We present examples of information granules and we consider two kinds of basic relations between them, namely inclusion and closeness. The relations between more complex information granules can be defined by extension of the relations defined on parts of information granules.
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Representation of Uncertainty with Information and Probabilistic Information Granules

International Journal of Fuzzy Systems, 2016
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 combination of different facets of uncertainty in natural representations without ...
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Description Languages for Relational Information Granules

Fundamenta Informaticae, 2015
Information granulation is a powerful tool for data analysis and processing. However, not much attention has been devoted to application of this tool to data stored in a relational structure. This paper extends the notion of information granules to a relational case. Two information systems intended to store relational data are proposed.
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Recursive Information Granulation

2003
This chapter elaborates on the conceptual and algorithmic framework of information granulation. We provide a detailed algorithm of information granulation that is cast as an optimization problem reconciling two conflicting design criteria namely a specificity of information granules and their experimental relevance (coverage of numeric data).
Andrzej Bargiela, Witold Pedrycz
openaire   +1 more source

Information granules in medical differential diagnosis

2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2012
This paper discusses a correspondence between the core ideas of rough sets and medical differential diagnosis. Classically, a disease is defined as a set of symptoms, each of which gives the degree of confidence and coverage for the diagnosis.
Shusaku Tsumoto, Shoji Hirano
openaire   +1 more source

Clustering of Information Granules in Hotspot Identification

2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2019
Conceptually and algorithmically, hotspots could be regarded as information granules. In this study, we propose an aggregation of Fuzzy C-Means (FCM) algorithm and the principle of justifiable granularity (PJG) as a new approach to forming hotspots. With the proposed method, the quality of the hotspots formed in this manner could also be provided as an
Yinghua Shen, Witold Pedrycz, Ronei Marcos de Moraes, Xingchen Hu, Xianmin Wang, Adam Gacek   +5 more
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Collaborative Wireless Information Granulation Architecture

2008 Second Asia International Conference on Modelling & Simulation (AMS), 2008
As we move further into the age of machine intelligence and automated reasoning, one daunting problem becomes harder and harder to master. The problem is - how can we cope with the explosive growth in data, information, and knowledge? How can we locate and infer from decision- relevant information that is embedded in a large database that is ...
Evtim Peytchev, Ismail Kucukdurgut
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Information granules in general and complete coverings

2005 IEEE International Conference on Granular Computing, 2005
Two different operations of information granules are defined in the general coverings on a universe in this paper and different levels of granularity of coverings are studied based on the operations. Besides, general covering and complete covering according to a compatible relation are established in rough set theory in incomplete information systems ...
Chen Wu, Xibei Yang
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