The Paradox of the Heap of Grains in Respect to Roughness, Fuzziness and Negligibility
1998In a first step, roughness and fuzziness fail to account for the type of grad-uality (vagueness) involved in the concept of a heap, as it is conceived in the famous Eubulides’ paradox. One can partially bridge this gap by means of tolerance rough sets.
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Fuzzy Allocation of Fine-Grained Compute Resources for Grid Data Streaming Applications
International Journal of Grid and High Performance Computing, 2010Fine-grained allocation of compute resources, in terms of configurable clock speed of virtual machines, is essential for processing efficiency and resource utilization of data streaming applications. For a data streaming application, its processing speed is expected to approach the allocated bandwidth as much as possible.
Wen Zhang +4 more
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Fuzzy-Based Fine-Grained Human Activity Recognition within Smart Environments
2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI), 2019With the increasing ageing population, Smart Home (SH) has been under vigorous investigation to enable Ambient Assisted Living (AAL) and foster independent living. Human Activity Recognition (HAR) is the backbone of AAL systems in order to detect Activities of Daily Living (ADL) and provide timely, context-aware assistance.
Darpan Triboan +2 more
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A Novel Fuzzy Logic Model for Multi-label Fine-Grained Emotion Retrieval
2017The traditional opinion retrieval methods can acquire the topic-relevant and subjective documents or sentences with the issued query. However, these methods usually focus on the sentiment polarities in the retrieval results, but ignore the emotion intensities.
Chu Wang +3 more
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Parallel Fuzzy Reasoning On Mesh-Connected Fine-Grain Computer Architectures
SPIE Proceedings, 1987This paper presents a scheme for very high-speed inexact reasoning and fuzzy inference configured for mesh-connected fine-grain parallel computer architectures. The underlying inference mechanism for the proposed scheme is a general rule-based fuzzy inference network.
M. A. Eshera, J. W. Lewis
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Neuro - Fuzzy Analysis for Silicon Carbide Abrasive Grains Production.
Journal of the Nigerian Association of Mathematical Physics, 2013Grinding wheels are made of very small, sharp and hard abrasive materials or grits held together by strong porous bond. Abrasive materials are materials of extreme hardness that are used to shape other materials by a grinding or abrading action and they are used either as loose grains, as grinding wheels, or as coatings on cloth or paper.
Odior, AO +3 more
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An application of a fuzzy classification routine suggested for fine grained soils
2018Soil classification is an important stage in preliminary studies for design applications in engineering geology. A few letters or numbers assigned to a soil provide rapidly an idea to engineers. The classification of fine grained soils in national and international soil classification systems is determined using plasticity chart.
TOKSÖZ, Derya, YILMAZ, Işık
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Path Following and Obstacle Avoidance Control Based on Different Fuzzy Grains
2015This paper presented a hierarchical fuzzy path following control scheme based on different fuzzy grain size in a class of unknown environment with static obstacles. By employing fine-grained fuzzy division and design of fuzzy rule table for the rotation angle and speed of a robot, a more accurate path following control was achieved, while more ...
Yifei Kong +3 more
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Detecting Fine-grained Sitting Affordances with Fuzzy Sets
Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2016Viktor Seib +2 more
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From fuzzy to fine-grained representations in the developing lexicon
Bilingualism: Language and Cognition, 2021openaire +1 more source

