Results 11 to 20 of about 3,244 (195)
Random Fuzzy Clustering Granular Hyperplane Classifier
IEEE Access, 2020 Granular computing is a method of studying human intelligent information processing, which has advantage of knowledge discovery. In this paper, we convert a classification problem of sample space into a classification problem of fuzzy clustering granular
Wei Li +5 more
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Number of targets detection method with FCM‐based granulation–degranulation mechanism
Electronics Letters, 2022 In this letter, the authors elaborate on a novel method to detect the number of targets in low SNR and small snapshots through using the Fuzzy C‐Means clustering based granulation‐degranulation mechanism.
Minghui Sha +3 more
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Frontiers in Environmental Science, 2023 Earthquake-induced landslides are ubiquitous on slopes in terrestrial environments, which can pose a serious threat to local communities and infrastructures. Data-driven landslide assessments play a crucial role in preventing future landslide occurrences
Yuran Feng +4 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Convolutional neural networks (CNNs) with the characteristics like spatial filtering, feed-forward mechanism, and back propagation-based learning are being widely used recently for remote sensing (RS) image classification.
Sankar K. Pal, Dasari Arun Kumar
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Data granulation by the principles of uncertainty [PDF]
, 2015 Researches in granular modeling produced a variety of mathematical models, such as intervals, (higher-order) fuzzy sets, rough sets, and shadowed sets, which are all suitable to characterize the so-called information granules.
Livi, Lorenzo, Sadeghian, Alireza
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Gong-kuang zidonghua, 2014 For problems that high-level information granules constructed by existing fuzzy information granulation method cannot completely contain information in low-level data, and range of prediction time is limited, an interpolation trapezoidal fuzzy ...
WU Zhaofa, WU Xiang, QIAN Jiansheng
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Effects of sustained communication time on reliability of JXTA-Overlay P2P platform: a comparison study for two fuzzy-based systems [PDF]
, 2016 (c) 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works for resale or ...
Barolli, Leonard +5 more
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A fuzzy-based reliaility for JXTA-overlay P2P platform considering data download speed, peer congestion situation, number of interaction and packet loss parameters [PDF]
, 2016 (c) 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works for resale or ...
Barolli, Leonard +5 more
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Frontiers in Ecology and Evolution, 2022 With the rapid development of global industrialization and urbanization, as well as the continuous expansion of the population, large amounts of industrial exhaust gases and automobile exhaust are released.
Jiyang Wang, Jingrui Li, Zhiwu Li
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Information Entropy and Co–entropy of Crisp and Fuzzy Granulations [PDF]
, 2007 The standard approach to information entropy applied to partitions of a universe is equivalently formulated as the entropy of the corresponding crisp identity resolutions, interpreted as crisp granulations, by the corresponding characteristic functionals. Moreover, in this crisp context the co---entropy notion is introduced.
Bianucci, D +2 more
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