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A Partition Model of Granular Computing
There are two objectives of this chapter. One objective is to examine the basic principles and issues of granular computing. We focus on the tasks of granulation and computing with granules. From semantic and algorithmic perspectives, we study the construction, interpretation, and representation of granules, as well as principles and operations of ...
Yiyu Yao
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Granular Computing: Perspectives and Challenges
IEEE Transactions on Cybernetics, 2013Granular 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.
Yao, JingTao +2 more
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Granular Computing: Past, Present and Future
Granular computing is gradually changing from a label to a new field of study. The driving forces, the major schools of thought, and the future research directions on granular computing are examined.
Yiyu Yao
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The roots of granular computing
2006 IEEE International Conference on Granular Computing, 2006Granular Computing arose as a synthesis of insights into human-centred information processing by Zadeh in the late ’90s and the Granular Computing name was coined, at this early stage, by T.Y Lin. Although the name is now in widespread use, or perhaps because of it, there are calls for a clarification of the distinctiveness of Granular Computing ...
Andrzej Bargiela, Pedrycz, Witold
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Granular computing in wineinformatics
2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD), 2017Wineinformatics 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 0001 +5 more
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Granular Computing: Granular Classifiers and Missing Values
6th IEEE International Conference on Cognitive Informatics, 2007Granular 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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Interactive Granular Computing
2015Decision support in solving problems related to complex systems requires relevant computation models for the agents as well as methods for incorporating reasoning over computations performed by agents. Agents are performing computations on complex objects (e.g., (behavioral) patterns, classifiers, clusters, structural objects, sets of rules ...
Andrzej Skowron, Andrzej Jankowski
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Granular representation and granular computing with fuzzy sets
Fuzzy Sets and Systems, 2012In this study, we introduce a concept of a granular representation of numeric membership functions of fuzzy sets, which offers a synthetic and qualitative view at fuzzy sets and their ensuing processing. The notion of consistency of the granular representation is formed, which helps regard the problem as a certain optimization task.
Adam Pedrycz +3 more
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Granular Computing based cognitive computing
2009 8th IEEE International Conference on Cognitive Informatics, 2009Human 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 0001, Qinghua Zhang 0001
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Granular Computing : An Introduction
Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569), 2000The 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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