Results 21 to 30 of about 5,337 (224)
A modified belief entropy in Dempster-Shafer framework. [PDF]
PLoS ONE, 2017 How to quantify the uncertain information in the framework of Dempster-Shafer evidence theory is still an open issue. Quite a few uncertainty measures have been proposed in Dempster-Shafer framework, however, the existing studies mainly focus on the mass
Deyun Zhou, Yongchuan Tang, Wen Jiang
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A new proposed measure for estimating taxonomic diversity
Turkish Journal of Forestry, 2018 Recently, Deng Entropy has been received attention and began to use in many real application. That entropic measure was improved in the Dempster-Shafer Evidential Theory (DSET) and based on the basic probability assignment. The present study offers a new
Kürşad ÖZKAN
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Frequency Analysis and Investigation of the Factors Affecting 100-yr Peak-Flood in Iran’s Watersheds [PDF]
جغرافیا و برنامهریزی محیطی, 2022 The purpose of the current study is to analyze the frequency of peak flood discharge with a 100-year return period in 206 Iran watersheds and to quantify it based on the most important factors. In this regard, flood frequency analysis was performed based
ٍEsmaeel Parizi, Seiyed Mossa Hosseini
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IEEE Access, 2021 As a common geological hazard in underground engineering, rockburst has many uncertain factors and interactions, and is of a complicated mechanism. Based on the information fusion theory, a methodology using a novel connection cloud model, which can ...
Guangyao Chen +3 more
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Evidential Decision Tree Based on Belief Entropy
Entropy, 2019 Decision Tree is widely applied in many areas, such as classification and recognition. Traditional information entropy and Pearson’s correlation coefficient are often applied as measures of splitting rules to find the best splitting attribute ...
Mujin Li, Honghui Xu, Yong Deng
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Measuring Uncertainty in the Negation Evidence for Multi-Source Information Fusion
Entropy, 2022 Dempster–Shafer evidence theory is widely used in modeling and reasoning uncertain information in real applications. Recently, a new perspective of modeling uncertain information with the negation of evidence was proposed and has attracted a lot of ...
Yongchuan Tang, Yong Chen, Deyun Zhou
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Entropy, 2018 How to measure the uncertainty of the basic probability assignment (BPA) function is an open issue in Dempster⁻Shafer (D⁻S) theory.
Lipeng Pan, Yong Deng
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Conflict Management of Evidence Theory Based on Belief Entropy and Negation
IEEE Access, 2020 Discount coefficient is an efficient method to address conflicting evidence combination in Dempster-Shafer evidence theory. However, how to determine the discount coefficient of each evidence is an open issue.
Shanshan Li +2 more
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An Evidential Software Risk Evaluation Model
Mathematics, 2022 Software risk management is an important factor in ensuring software quality. Therefore, software risk assessment has become a significant and challenging research area.
Xingyuan Chen, Yong Deng
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Advanced Functional Materials, EarlyView.This work introduces an ultrafast thermal shock strategy to synthesize a CuNiSnLa medium‐entropy metallic glass (MEMG). The rapid heating and cooling process generates a robust, highly active catalyst for electrocatalytic nitrate reduction to ammonia (NRA).
Hongbo Chen +7 more
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