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Representation of Uncertainty with Information and Probabilistic Information Granules
International Journal of Fuzzy Systems, 2016Linguistic 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, 2015Information 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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Information granules in medical differential diagnosis
2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2012This 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
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Clustering of Information Granules in Hotspot Identification
2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2019Conceptually 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 +5 more
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Collaborative Wireless Information Granulation Architecture
2008 Second Asia International Conference on Modelling & Simulation (AMS), 2008As 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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Generalizations of Information Granules
2003In this chapter, we discuss various extensions of the fundamental formal environments of granular computing and elaborate on a series of synergistic interactions arising between them. The first trend is motivated by the complexity and diversity of the granular aspect of information.
Andrzej Bargiela, Witold Pedrycz
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Information granules in general and complete coverings
2005 IEEE International Conference on Granular Computing, 2005Two 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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Recursive Information Granulation
2003This 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
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Interpretability constraints for fuzzy information granulation
Information Sciences, 2008Information granules are complex entities that arise in the process of abstraction of data and derivation of knowledge. The automatic generation of information granules from data is an important task, since it gives to machines the ability of acquiring knowledge that can be communicated to users.
Corrado Mencar, Anna Maria Fanelli
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Information Granules in Application to Image Recognition
2015The paper concerns specific problems of color digital image recognition by use of the concept of fuzzy and rough granulation. This idea employs information granules that contain pieces of knowledge about digital pictures such as color, location, size, and shape of an object to be recognized.
Krzysztof Wiaderek +2 more
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