Results 11 to 20 of about 25,372 (226)

Uncertainty Measure of Basic Probability Assignment Based on Renyi Entropy and Its Application in Decision-Making

open access: yesIEEE Access, 2021
Since the Dempster-Shafer evidence theory was developed, it has been extensively concerned by researchers. Compared with Bayesian probability theory, Dempster-Shafer evidence theory satisfies weaker constraints and has the advantage to indicate ...
Zichong Chen, Xianwen Luo
doaj   +1 more source

A Networked Method for Multi-Evidence-Based Information Fusion

open access: yesEntropy, 2022
Dempster–Shafer evidence theory is an effective way to solve multi-sensor data fusion problems. After developing many improved combination rules, Dempster–Shafer evidence theory can also yield excellent results when fusing highly conflicting evidence ...
Qian Liang, Zhongxin Liu, Zengqiang Chen
doaj   +1 more source

Implementasi Algoritma Dempster-Shafer Theory Pada Sistem Pakar Diagnosa Penyakit Psikologis Gangguan Kontrol Impuls

open access: yesInsearch: Information System Research Journal, 2022
Gangguan kontrol impuls merupakan penyakit gangguan mental yang berkaitan dengan kesulitan untuk mengontrol emosinya maupun perilakunya. Gangguan kontrol impuls dianggap berbahaya karena penderitanya akan menglami kondisi dengan suasana hati yang ...
Yusra Fernando   +2 more
semanticscholar   +1 more source

A Novel Integration Method for D Numbers Based on Horizontal Comparison

open access: yesAxioms, 2021
D numbers theory is an extension of Dempster–Shafer evidence theory. It eliminates the constraints of mutual exclusion and completeness under the frame of discernment of Dempster–Shafer evidence theory, so it has been widely used to deal with uncertainty
Haiyang Hou, Chunyu Zhao
doaj   +1 more source

The improvement of uncertainty measurements accuracy in sensor networks based on fuzzy dempster-shafer theory

open access: yesIJAIN (International Journal of Advances in Intelligent Informatics), 2020
Threat Assessment is one of the most important components in combat management systems. However, uncertainty is one of the problems that occur in the input data of these systems that have been provided using several sensors in sensor networks.
Ehsan Azimirad   +1 more
doaj   +1 more source

A Multi-Criteria Collaborative Filtering Approach Using Deep Learning and Dempster-Shafer Theory for Hotel Recommendations

open access: yesIEEE Access, 2022
This paper addresses the problem of multi-criteria recommendation in the hotel industry. The main focus is to analyze user preferences from different aspects based on multi-criteria ratings and develop a new multi-criteria collaborative filtering method ...
Quang-Hung Le   +3 more
semanticscholar   +1 more source

Evidence conflict measure based on OWA operator in open world. [PDF]

open access: yesPLoS ONE, 2017
Dempster-Shafer evidence theory has been extensively used in many information fusion systems since it was proposed by Dempster and extended by Shafer.
Wen Jiang   +4 more
doaj   +1 more source

Lightning Failure Risk Assessment of Overhead Transmission Lines Based on Modified Dempster–Shafer Theory

open access: yesEnergies, 2022
Lightning has a certain degree of potential threat to the safe operation of overhead transmission lines. In order to make targeted lightning protection arrangements and reduce the impact of lightning on overhead transmission lines, it is necessary to ...
Jie Liu   +5 more
doaj   +1 more source

A New Reliability Coefficient Using Betting Commitment Evidence Distance in Dempster–Shafer Evidence Theory for Uncertain Information Fusion

open access: yesEntropy, 2023
Dempster–Shafer evidence theory is widely used to deal with uncertain information by evidence modeling and evidence reasoning. However, if there is a high contradiction between different pieces of evidence, the Dempster combination rule may give a fusion
Yongchuan Tang   +4 more
doaj   +1 more source

Internal Feature Selection Method of CSP Based on L1-Norm and Dempster–Shafer Theory

open access: yesIEEE Transactions on Neural Networks and Learning Systems, 2020
The common spatial pattern (CSP) algorithm is a well-recognized spatial filtering method for feature extraction in motor imagery (MI)-based brain–computer interfaces (BCIs).
Jing Jin   +5 more
semanticscholar   +1 more source

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