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Granular Computing based cognitive computing

2009 8th IEEE International Conference on Cognitive Informatics, 2009
Human cognition is a very complicated process. Granular Computing (GrC) is a kind of new idea and new method in the artificial intelligence field to simulate the human problem solving in cognition process. In this paper, several typical cognition models are reviewed at first.
Guoyin Wang, Qinghua Zhang
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Granular Computing: Perspectives and Challenges

IEEE Transactions on Cybernetics, 2013
Granular computing, as a new and rapidly growing paradigm of information processing, has attracted many researchers and practitioners. Granular computing is an umbrella term to cover any theories, methodologies, techniques, and tools that make use of information granules in complex problem solving.
JingTao, Yao   +2 more
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Granular Computing: Granular Classifiers and Missing Values

6th IEEE International Conference on Cognitive Informatics, 2007
Granular computing is a paradigm destined to study how to compute with granules of knowledge that are collective objects formed from individual objects by means of a similarity measure. The idea of granulation was put forth by Lotfl Zadeh: granulation is inculcated in fuzzy set theory by the very definition of a fuzzy set and inverse values of fuzzy ...
Lech Polkowski, Piotr Artiemjew
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Granular Computing : An Introduction

Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569), 2000
The study is concerned with the fundamentals of granular computing. Granular computing, as the name itself stipulates, deals with representing information in the form of some aggregates (that embrace a number of individual entities) and their ensuing processing. We elaborate on the rationale behind granular computing.
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Cortical Granular Computing

SSRN Electronic Journal, 2018
Cortical processing is a set of organized computations carried out by a large set of cortical cell assemblies (CA) widely distributed over the entire cortex. These CAs specialize in computing specific pieces of information, called here, information granules.
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Granular computing in wineinformatics

2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD), 2017
Wineinformatics is a novel data science application domain to understand more about wine via wine related datasets, including physicochemical laboratory data and wine reviews. Many interesting works has been done in this novel domain, including predict the wines' score based on the wine expert reviews (in human language format) and wine region ...
Bernard Chen   +5 more
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Granular Computing

2009
It is well accepted that in many real life situations information is not certain and precise but rather uncertain or imprecise. To describe uncertainty probability theory emerged in the 17th and 18th century. Bernoulli, Laplace and Pascal are considered to be the fathers of probability theory.
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Granular algebra for modeling granular systems and granular computing

2009 8th IEEE International Conference on Cognitive Informatics, 2009
Granular computing provides a new perspective on computing architectures and behaviors. This paper presents a recent development in denotational mathematics known as granular algebra, which enables a rigorous treatment of computing granules as a generic abstract mathematical structure and granular behaviors as a set of algebraic operations. An abstract
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