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Normal distribution based on maximum Deng entropy
Chaos, Solitons & Fractals, 2023Siran Li, Fuyuan Xiao
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Derive power law distribution with maximum Deng entropy
Chaos, Solitons & Fractals, 2022Zihan Yu, Yong Deng
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Weighted deng entropy and its application in uncertainty measure
2017 20th International Conference on Information Fusion (Fusion), 2017How to quantify the uncertainty information consisted in the body of evidence (BOE) in the framework of Dempster-Shafer evidence theory is still an open issue. A few uncertainty measures have been proposed in Dempster-Shafer evidence theory framework, but these studies mainly focused on the mass function itself and the scale of the frame of discernment
Yongchuan Tang +3 more
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Extending Deng Entropy to the Open World in the Evidence Theory
2018 21st International Conference on Information Fusion (FUSION), 2018Dempster-Shafer evidence theory (DST) is widely used in intelligent information processing, especially for information fusion. Recently, measuring the information volume in the framework of DST draws a lot of attention. Many theories and tools have been proposed to model the uncertain degree in DST, including Deng entropy. However, Deng entropy and the
Yongchuan Tang +2 more
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Meausre divergence degree of basic probability assignment based on Deng relative entropy
2016 Chinese Control and Decision Conference (CCDC), 2016Dempster Shafer evidence theory (D-S theory) is more and more extensively applied to information fusion for the advantage dealing with uncertain information. However, the results opposite to common sense are often obtained when combining the different evidence using the Dempster's combination rules.
Liguo Fei, Yong Deng
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DENG ENTROPY AND INFORMATION DIMENSION FOR COVID-19 AND COMMON PNEUMONIA CLASSIFICATION
FractalsMotivated by previous authors’ work, where Shannon entropy, box covering and information dimension were applied to quantify pulmonary lesions, this paper extends such a contribution in two fashions: (i) Following the approach to quantify pulmonary lesions with Deng entropy and Deng information dimension obtained through box covering method; (ii ...
PILAR ORTIZ-VILCHIS +3 more
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COMPLEX NETWORK CLASSIFICATION USING DENG ENTROPY AND BIDIRECTIONAL LONG SHORT-TERM MEMORY
FractalsNetwork classification plays a crucial role in various domains like social network analysis and bioinformatics. While Graph Neural Networks (GNNs) have achieved significant success, they struggle with the problem of over-smoothing and capturing global information.
MARÍA-DEL-CARMEN SOTO-CAMACHO +3 more
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2020
Incrementally forming sheet metals using a single ball-ended tool is one of steadfast areas in which industry is capable of focusing its attention in the future prospect appropriate to huge opportunities existing in automation. Because of low pace of production and action of spring back that effect the dimension, this process has not been adopted in ...
G. Yoganjaneyulu, C. Sathiya Narayanan
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Incrementally forming sheet metals using a single ball-ended tool is one of steadfast areas in which industry is capable of focusing its attention in the future prospect appropriate to huge opportunities existing in automation. Because of low pace of production and action of spring back that effect the dimension, this process has not been adopted in ...
G. Yoganjaneyulu, C. Sathiya Narayanan
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Menba Kastamonu Üniversitesi Su Ürünleri Fakültesi Dergisi
In recent years, Deng entropy has attracted considerable interest and found applications in various fields. Deng Entropy is an entropic equation developed within the framework of the Dempster-Shafer Theory of Evidence and is based on basic probability assignment. In this study, a new taxonomic diversity index based on Deng entropy was used.
Banu Kutlu, Kürşad Özkan
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In recent years, Deng entropy has attracted considerable interest and found applications in various fields. Deng Entropy is an entropic equation developed within the framework of the Dempster-Shafer Theory of Evidence and is based on basic probability assignment. In this study, a new taxonomic diversity index based on Deng entropy was used.
Banu Kutlu, Kürşad Özkan
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