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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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Local temporal-spatial multi-granularity learning for sequential three-way granular computing
Information Sciences, 2020Based on multiple levels of granularity, the notion of sequential three-way granular computing focuses on a multiple stages of thinking, problem-solving, and information processing in threes.
Xin Yang +4 more
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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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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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Resilience Analysis of Critical Infrastructures: A Cognitive Approach Based on Granular Computing
IEEE Transactions on Cybernetics, 2019A great impetus for the study of resilience in critical infrastructures (CIs) is found in the large number of initiatives and international research programmes from U.S., EU, and Asia.
H. Fujita +3 more
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Estimating incomplete information in group decision making: A framework of granular computing
Applied Soft Computing, 2020A general assumption in group decision making scenarios is that of all individuals possess accurate knowledge of the entire problem under study, including the abilities to make a distinction of the degree up to which an alternative is better than other ...
F. Cabrerizo +5 more
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IEEE Transactions on Cybernetics, 2020
As one of the most essential sources of energy, byproduct gas plays a pivotal role in the steel industry, for which the flow tendency is generally regarded as the guidance for planning and scheduling in real production.
Zhongyang Han +3 more
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As one of the most essential sources of energy, byproduct gas plays a pivotal role in the steel industry, for which the flow tendency is generally regarded as the guidance for planning and scheduling in real production.
Zhongyang Han +3 more
semanticscholar +1 more source
Knowledge-Based Systems, 2020
Partial order formal structure analysis (POFSA), as an emerging model of concept cognitive learning, has been extensively used in the field of knowledge processing.
Enliang Yan +5 more
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Partial order formal structure analysis (POFSA), as an emerging model of concept cognitive learning, has been extensively used in the field of knowledge processing.
Enliang Yan +5 more
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Granular algebra for modeling granular systems and granular computing
2009 8th IEEE International Conference on Cognitive Informatics, 2009Granular 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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