The numerical example shows that the new belief entropy can quantify the uncertainty in mass BOE more accurately, which is helpful for information processing.
Entropy is one of the most important methods for measuring uncertainty (Deng, 2020). For modeling the uncertainty in evidence theory, researchers have ...
May 17, 2021 · Deng entropy and extropy are two measures useful in the Dempster–Shafer evidence theory (DST) to study uncertainty, following the idea that extropy is the dual ...
The Deng entropy serves as a valuable measure in the Dempster-Shafer evidence theory (DST) to tackle uncertainty. In this study, we extend the fractional Deng ...
The proposed belief entropy is proved to satisfy the majority of the desired properties for an uncertainty measure in DST framework. In addition, when BPA is ...
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Oct 20, 2020 · Secondly, we discuss the development of Deng entropy as an effective way to measure uncertainty, including introducing its definition, analyzing ...
The main contribution of this paper is that a new entropy, named as Deng entropy, is presented to measure the uncertainty of a basic probability assignment (BPA) ...
Sep 7, 2020 · In this paper, an uncertainty measurement method that is based on Deng entropy, named Open Deng entropy (ODE), is proposed.
Abstract—How to quantify the uncertainty information consisted in the body of evidence (BOE) in the framework of. Dempster-Shafer evidence theory is still ...
May 31, 2024 · The improved belief entropy is a new method for uncertainty measure in Dempster-Shafer framework. Based on the new belief entropy, a ...