Weighted Evidence Combination Based on Distance of Evidence and Entropy Function

Wang, Jianwei; Xiao, Fuyuan; Deng, Xinyang; Fei, Liguo; Deng, Yong

doi:10.1177/155014773218784

Cited by 53 publications

(26 citation statements)

References 58 publications

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“…Math tools such as D-numbers and evidence theory are widely used to handle the uncertainties and the data fusion in these systems. [45][46][47][48] In these cases, a fuzzy approach is recommended over distributed CEP systems in future research. In the future, we also intend to include the hardware implementation and energy requirements for distributed CEP systems.…”

Section: Discussionmentioning

confidence: 99%

New parallel processing strategies in complex event processing systems with data streams

Xiao

Zhan

Lai

et al. 2017

International Journal of Distributed Sensor Networks

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Sensor network-based application has gained increasing attention where data streams gathered from distributed sensors need to be processed and analyzed with timely responses. Distributed complex event processing is an effective technology to handle these data streams by matching of incoming events to persistent pattern queries. Therefore, a well-managed parallel processing scheme is required to improve both system performance and the quality-of-service guarantees of the system. However, the specific properties of pattern operators increase the difficulties of implementing parallel processing. To address this issue, a new parallelization model and three parallel processing strategies are proposed for distributed complex event processing systems. The effects of temporal constraints, for example, sliding windows, are included in the new parallelization model to enable the processing load for the overlap between windows of a batch induced by each input event to be shared by the downstream machines to avoid events that may result in wrong decisions. The proposed parallel strategies can keep the complex event processing system working stably and continuously during the elapsed time. Finally, the application of our work is demonstrated using experiments on the StreamBase system regardless of the increased input rate of the stream or the increased time window size of the operator.

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Section: Discussionmentioning

confidence: 99%

New parallel processing strategies in complex event processing systems with data streams

Xiao

Zhan

Lai

et al. 2017

International Journal of Distributed Sensor Networks

Self Cite

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“…A new belief entropy, named as Deng entropy [11] is a measure of uncertainty of basic belief assignment [10,19]. Basic belief assignment(BBA) is widely used in the field of information fusion [14,15,45] which has been applied in many fields like Failure Mode and Effect Analysis [16,18], Fault Diagnose [17,52] and so on.…”

Section: Belief Entropymentioning

confidence: 99%

Uncertainty measurement with belief entropy on the interference effect in the quantum-like Bayesian Networks

Huang

Yang

Jiang

2019

Applied Mathematics and Computation

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Social dilemmas have been regarded as the essence of evolution game theory, in which the prisoner's dilemma game is the most famous metaphor for the problem of cooperation. Recent findings revealed people's behavior violated the Sure Thing Principle in such games. Classic probability methodologies have difficulty explaining the underlying mechanisms of people's behavior. In this paper, a novel quantum-like Bayesian Network was proposed to accommodate the paradoxical phenomenon. The special network can take interference into consideration, which is likely to be an efficient way to describe the underlying mechanism. With the assistance of belief entropy, named as Deng entropy, the paper proposes Belief Distance to render the model practical.Tested with empirical data, the proposed model is proved to be predictable and effective.

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“…Until now, how to manage conflict is an open issue in D-S theory. In recent years, hundreds of methods have been proposed to address this issue [6,[13][14][15][16][17][18][19][20][21][22].…”

Section: Introductionmentioning

confidence: 99%

A correlation coefficient for belief functions

Jiang

2018

International Journal of Approximate Reasoning

232

139

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How to manage conflict is still an open issue in Dempster-Shafer evidence theory.The correlation coefficient can be used to measure the similarity of evidence in Dempster-Shafer evidence theory. However, existing correlation coefficients of belief functions have some shortcomings. In this paper, a new correlation coefficient is proposed with many desirable properties. One of its applications is to measure the conflict degree among belief functions. Some numerical examples and comparisons demonstrate the effectiveness of the correlation coefficient.

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Weighted Evidence Combination Based on Distance of Evidence and Entropy Function

Cited by 53 publications

References 58 publications

New parallel processing strategies in complex event processing systems with data streams

New parallel processing strategies in complex event processing systems with data streams

Uncertainty measurement with belief entropy on the interference effect in the quantum-like Bayesian Networks

A correlation coefficient for belief functions

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