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Titlebook: Human-Centric Information Processing Through Granular Modelling; Andrzej Bargiela,Witold Pedrycz Book 2009 Springer-Verlag Berlin Heidelbe

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Concept Granular Computing Based on Lattice Theoretic Setting,ive algorithms to form concept granules are proposed. It is proved that the concept granules obtained by the iterative algorithms are the sub-concept granules or sup-concept granules under some conditions for this system. Finally, we give rough approximations based on fuzzy concept lattice in formal concept analysis.
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1860-949X ign methodology, and detailed algorithms.Carefully structureInformation granules and their processing permeate a way in which we perceive the world, carryout processing at the conceptual (abstract) level, and communicate our findings to the surrounding environment. The importance of information gran
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Artificial Dendritic Cells: Multi-faceted Perspectives,f the resulting Dendritic Cell Algorithm. A brief overview of the algorithm is given in combination with the details of the processes used for its development. The chapter is concluded with a discussion of the parallels between our understanding of the human immune system and how such knowledge influences the design of artificial immune systems.
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Affinities between Perceptual Granules: Foundations and Perspectives,nd perceptual granules that provide a basis for perceptual systems useful in science and engineering. A . is something perceptible to the senses or knowable by the mind. Perceptual objects that have the same appearance are considered to be perceptually near each other, i.e., perceived objects that h
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Semantic Driven Fuzzy Clustering for Human-Centric Information Processing Applications,cy-interpretability tradeoff into the conceptualization of the clustering process. Nowadays it is a matter of common agreement that the cornerstone notion of information granulation is fundamental for a successful outcome of exploratory data analysis and modeling in fields like science, engineering,
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