Results 21 to 30 of about 1,200,520 (247)
Weakly fuzzy topological entropy [PDF]
summary:In 2005, İ. Tok fuzzified the notion of the topological entropy R. A. Adler et al. (1965) using the notion of fuzzy compactness of C. L. Chang (1968).
Afsan, B M Uzzal
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Marine background noise (MBN) is the background noise of the marine environment, which can be used to invert the parameters of the marine environment. However, due to the complexity of the marine environment, it is difficult to extract the features of ...
Guanni Ji, Yu Wang, Fei Wang
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A new fractional fuzzy dispersion entropy and its application in muscle fatigue detection
Abstract Background The complexity analysis of neuroelectrophysiological signals has been widely applied in the field of biomedical engineering and muscle fatigue detection using the complexity analysis of surface electromyographic (sEMG) signals is one of the hot research topics.
Baohua Hu, Yong Wang, Jingsong Mu
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A Robust and High-Dimensional Clustering Algorithm Based on Feature Weight and Entropy
Since the Fuzzy C-Means algorithm is incapable of considering the influence of different features and exponential constraints on high-dimensional and complex data, a fuzzy clustering algorithm based on non-Euclidean distance combining feature weights and
Xinzhi Du
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This paper considers the problem of effective feature extraction of acoustic signals from oil and gas pipelines under different working conditions. A feature extraction of pipeline leakage detection method is proposed based on multi-feature entropy ...
Dandi Yang +3 more
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Exponential entropy on intuitionistic fuzzy sets [PDF]
summary:In the present paper, based on the concept of fuzzy entropy, an exponential intuitionistic fuzzy entropy measure is proposed in the setting of Atanassov's intuitionistic fuzzy set theory. This measure is a generalized version of exponential fuzzy
Verma, Rajkumar, Sharma, Bhu Dev
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Abstract To promote the market-oriented mechanism in carbon emission reduction, improve the role of carbon price forecasting in guiding investors to make quantitative investments, this paper constructs a error corrected carbon price forecasting model integrated fuzzy dispersion entropy and deep learning paradigm, namely, ICEEMDAN-FDE-VMD-PSO ...
Po Yun +4 more
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Fuzzy clustering methods with Rényi relative entropy and cluster size
In the last two decades, information entropy measures have been relevantly applied in fuzzy clustering problems in order to regularize solutions by avoiding the formation of partitions with excessively overlapping clusters.
Vélez Serrano, Daniel +3 more
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In previous studies, there were few portfolio models involving investors’ psychological states, market ambiguity and entropy. Some entropy can make the model have the effect of diversifying investment, which is very important.
Xue Deng, Tao Lin, Chuangjie Chen
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The combination of underwater acoustic processing and the Global Navigation Satellite System (GNSS) has achieved remarkable economic benefits in offshore operations.
Danning Zhao +5 more
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