Results 21 to 30 of about 359,364 (258)

A novel method to determine basic probability assignment in Dempster–Shafer theory and its application in multi-sensor information fusion

open access: yesInternational Journal of Distributed Sensor Networks, 2019
Multi-sensor information fusion occurs in a vast variety of applications, including medical diagnosis, automatic drive, speech recognition, and so on. Often these problems can be modeled by Dempster–Shafer theory.
Liguo Fei   +3 more
doaj   +1 more source

An improved method to determine basic probability assignment with interval number and its application in classification

open access: yesInternational Journal of Distributed Sensor Networks, 2019
Due to its efficiency to handle uncertain information, Dempster–Shafer evidence theory has become the most important tool in many information fusion systems.
Bowen Qin, Fuyuan Xiao
doaj   +1 more source

An Improved Belief Entropy to Measure Uncertainty of Basic Probability Assignments Based on Deng Entropy and Belief Interval

open access: yesEntropy, 2019
It is still an open issue to measure uncertainty of the basic probability assignment function under Dempster-Shafer theory framework, which is the foundation and preliminary work for conflict degree measurement and combination of evidences.
Yonggang Zhao   +4 more
doaj   +1 more source

On the variable capacity property of CC/DS-CDMA systems [PDF]

open access: yes, 2006
A complete complementary code based direct sequence code division multiple access (CC/DS-CDMA) system has been proposed recently as a potential candidate for beyond third generation (B3G) wireless communications.
Chen, HH, Song, YH, Wang, LP, Yang, Y
core   +1 more source

Engine fault diagnosis based on sensor data fusion considering information quality and evidence theory

open access: yesAdvances in Mechanical Engineering, 2018
Fault diagnosis is a problem processing variable information obtained from different sources in nature. Evidence theory, efficient to deal with information viewed as evidence, is widely used in fault diagnosis.
Hepeng Zhang, Yong Deng
doaj   +1 more source

The Maximum Deng Entropy

open access: yesIEEE Access, 2019
Deng entropy has been proposed to measure the uncertainty degree of basic probability assignment in evidence theory. In this paper, the condition of the maximum of Deng entropy is discussed.
Bingyi Kang, Yong Deng
doaj   +1 more source

Negation of Belief Function Based on the Total Uncertainty Measure

open access: yesEntropy, 2019
The negation of probability provides a new way of looking at information representation. However, the negation of basic probability assignment (BPA) is still an open issue.
Kangyang Xie, Fuyuan Xiao
doaj   +1 more source

Estimation of urban traffic state with probe vehicles

open access: yes, 2020
We present in this paper a method to estimate urban traffic state with communicating vehicles. Vehicles moving on the links of the urban road network form queues at the traffic lights.
Farhi, Nadir, Van Phu, Cyril Nguyen
core   +3 more sources

Insulation condition assessment method of mine-used transformer based on spatio-temporal information fusio

open access: yesGong-kuang zidonghua, 2017
The existing condition assessment methods of mine-used transformer mostly focus on assessment model and theory research, while neglect temporal and spatial correlation analysis of evaluation indexes.
ZHANG Yuzhen   +4 more
doaj   +1 more source

A reliability analysis method including confidence level and probability reliability under epistemic and aleatory uncertainty

open access: yesAdvances in Mechanical Engineering, 2018
Reliability analysis is a synthesis problem affected by both epistemic and aleatory uncertainties, due to the difficulties such as lack of statistical data and insufficient subjective information, which implies that the reliability analysis method has ...
Xiao-Feng Xue, Yun-Wen Feng, Cheng Lu
doaj   +1 more source

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