Transform of basic probability assignment to probability distribution is an important aspect of
decision making process. To address this issue, a weighted network method based on the …

The application of multisource information fusion in real-world scenarios is an emerging
practice because it effectively uses consistent and complementary data to optimize decision …

The increasing penetration of grid-enabled electric vehicles (EVs) renders road networks
(RNs) and power networks (PNs) increasingly interdependent for normal operation. For this …

There has been a rapid increase in government efforts to expand electric vehicle markets by
deploying fast-charging stations, promoting uptake through greater investment, and by …

Recently, a new type of set, called random permutation set (RPS), is proposed by
considering all the permutations of elements in a certain set. For measuring the uncertainty …

The transportation systems are facing major challenges due to changes social environment
caused by the COVID-19 pandemic. How to construct a suitable evaluation criterion system …

There has been immense interest in uncertainty measurement because most real-world
problems are accompanied by uncertain events. Therefore, Deng entropy has been …

Disruptions to electric vehicle charging infrastructure can hinder consumers' confidence and
impact the performance of shared electric vehicle (SEV) systems. This study focuses on SEV …

High-speed trains (HSTs) are used to transport passengers to destinations efficiently and
safely. However, when HST units fail, strategies for repairing them are not available. Hence …

Multi-source information fusion technology has been widely used because it can maximize
the use of information that collected from multiple data sources for decision fusion. As an …