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作 者:Witold Pedrycz
出 处:《IEEE/CAA Journal of Automatica Sinica》2018年第6期1025-1034,共10页自动化学报(英文版)
摘 要:In the plethora of conceptual and algorithmic developments supporting data analytics and system modeling,humancentric pursuits assume a particular position owing to ways they emphasize and realize interaction between users and the data.We advocate that the level of abstraction,which can be flexibly adjusted,is conveniently realized through Granular Computing.Granular Computing is concerned with the development and processing information granules–formal entities which facilitate a way of organizing knowledge about the available data and relationships existing there.This study identifies the principles of Granular Computing,shows how information granules are constructed and subsequently used in describing relationships present among the data.In the plethora of conceptual and algorithmic devel- opments supporting data analytics and system modeling, human- centric pursuits assume a particular position owing to ways they emphasize and realize interaction between users and the data. We advocate that the level of abstraction, which can be flexibly adjusted, is conveniently realized through Granular Computing. Granular Computing is concerned with the development and processing information granules - formal entities which facilitate a way of organizing knowledge about the available data and relationships existing there. This study identifies the principles of Granular Computing, shows how information granules are constructed and subsequently used in describing relationships present among the data.
关 键 词:AGGREGATION CLUSTERING design of information granules fuzzy sets granular computing information granules principle of justifiable granularity.
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