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A Logic Language of Granular Computing [PDF]
6th IEEE International Conference on Cognitive Informatics, 2007 Granular computing concerns human thinking and problem solving, as well as their implications to the design of knowledge intensive systems. It simplifies complex real world problems by considering different levels of granularity. Basic granules represent the elementary units of human knowledge.
Yiyu Yao, Bing Zhou 0002
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Granular Computing in Intelligent Transportation: An Exploratory Study
Cybernetics and Information Technologies, 2015 With the continuous development of the cities, the traffic situation has gradually become a topic of concern. The concept of an intelligent transportation system has been proposed and developed.
Dewen Seng +3 more
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Relational representations of algebraic lattices and their applications
Open Mathematics, 2022 In this paper, we define the concepts of strongly regular relation, finitely strongly regular relation, and generalized finitely strongly regular relation, and get the relational representations of strongly algebraic, hyperalgebraic, and quasi ...
Luo Shuzhen, Xu Xiaoquan
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Generic Construction of Decentralized Attribute-Based Σ-Protocol and Its Applications
Jisuanji kexue yu tansuo, 2021 Attribute-based cryptography becomes one of the hot topics in cryptography, since it can provide fine-grained access control and good privacy.
YANG Xiaoli, HUANG Zhenjie
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Multi-Cue Cascades for Robust Visual Tracking
IEEE Access, 2019 Generic object tracking is a fundamental vision task. Numerous attempts are made to utilize handcrafted features like Hogs, deep convolutional features pretrained independently from other vision tasks, as well as hierarchical features.
Feifei Ding +3 more
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Modeling and Control of Lip Based on Double-Layer Muscle
Journal of Algorithms & Computational Technology, 2014 Lip model plays an important role in virtual facial expression and speech simulation. However, the structures and movements of existing lip models are very simple, and the common motions such as protruding, pouting and sipping are failed to totally ...
Chen Zhi-Xiang +3 more
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Matroidal Structure of Generalized Rough Sets Based on Tolerance Relations
The Scientific World Journal, 2014 Rough set theory provides an effective tool to deal with uncertain, granular, and incomplete knowledge in information systems. Matroid theory generalizes the linear independence in vector spaces and has many applications in diverse fields, such as ...
Hui Li, Yanfang Liu, William Zhu
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Covering-Based Rough Sets on Eulerian Matroids
Journal of Applied Mathematics, 2013 Rough set theory is an efficient and essential tool for dealing with vagueness and granularity in information systems. Covering-based rough set theory is proposed as a significant generalization of classical rough sets.
Bin Yang, Ziqiong Lin, William Zhu
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IEEE Access, 2021 Granular computing is usually considered as a representative method for solving complex problems, which can be solved quickly through freely switching among different granular models.
Jinhui Li, Yunfeng Dong
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Granular computing as a tool of human data interaction - a cognitive cities use case [PDF]
, 2016 The article proposes granular computing as a theoretical, formal and methodological basis for the newly emerging research field of human–data interaction (HDI). We argue that the ability to represent and reason with information granules is a prerequisite
Edy Portmann +3 more
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