Results 1 to 10 of about 1,061 (76)

Paradox Elimination in Dempster–Shafer Combination Rule with Novel Entropy Function: Application in Decision-Level Multi-Sensor Fusion [PDF]

open access: yesSensors, 2019
Multi-sensor data fusion technology in an important tool in building decision-making applications. Modified Dempster−Shafer (DS) evidence theory can handle conflicting sensor inputs and can be applied without any prior information.
Md Nazmuzzaman Khan, Sohel Anwar
doaj   +3 more sources

Fusion of Airborne LiDAR With Multispectral SPOT 5 Image for Enhancement of Feature Extraction Using Dempster–Shafer Theory [PDF]

open access: yesIEEE Transactions on Geoscience and Remote Sensing, 2014
This paper presents an application of data-driven Dempster-Shafer theory (DST) of evidence to fuse multisensor data for land-cover feature extraction. Over the years, researchers have focused on DST for a variety of applications.
Vahideh Saeidi   +2 more
exaly   +3 more sources

Fractional Deng Entropy and Extropy and Some Applications

open access: yesEntropy, 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 concept of entropy.
Mohammad Reza Kazemi   +3 more
doaj   +1 more source

Measuring the Uncertainty in the Original and Negation of Evidence Using Belief Entropy for Conflict Data Fusion

open access: yesEntropy, 2021
Dempster-Shafer (DS) evidence theory is widely used in various fields of uncertain information processing, but it may produce counterintuitive results when dealing with conflicting data.
Yutong Chen, Yongchuan Tang
doaj   +1 more source

Evidence Theory in Picture Fuzzy Set Environment

open access: yesJournal of Mathematics, 2021
Picture fuzzy set is the most widely used tool to handle the uncertainty with the account of three membership degrees, namely, positive, negative, and neutral such that their sum is bound up to 1.
Harish Garg   +4 more
doaj   +1 more source

Temporal and Causal Relations on Evidence Theory: an Application on Adverse Drug Reactions

open access: yesProceedings of the International Florida Artificial Intelligence Research Society Conference, 2021
The use of big data and information fusion in electronichealth records (EHR) allowed the identification of adversedrug reactions(ADR) through the integration of heteroge-neous sources such as clinical notes (CN), medication pre-scriptions, and ...
Luiz Alberto Pereira Afonso Ribeiro   +2 more
doaj   +1 more source

An Evidential Software Risk Evaluation Model

open access: yesMathematics, 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
doaj   +1 more source

A Novel Multi-Source Domain Adaptation Method with Dempster–Shafer Evidence Theory for Cross-Domain Classification

open access: yesMathematics, 2022
In this era of big data, Multi-source Domain Adaptation (MDA) becomes more and more popular and is employed to make full use of available source data collected from several different, but related domains.
Min Huang, Chang Zhang
doaj   +1 more source

Maximum of Entropy for Belief Intervals Under Evidence Theory

open access: yesIEEE Access, 2020
The Dempster-Shafer Theory (DST) or Evidence Theory has been commonly used to deal with uncertainty. It is based on the basic probability assignment concept (BPA).
Serafin Moral-Garcia, Joaquin Abellan
doaj   +1 more source

A Note on Incomplete Information Modeling in the Evidence Theory

open access: yesIEEE Access, 2019
Incomplete information exists widely in practical engineering. How to model the incomplete information in the Dempster-Shafer evidence theory (DST) framework is still an open issue.
Xuelian Zhou, Yongchuan Tang
doaj   +1 more source

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