Perceiving safety risk of buildings adjacent to tunneling excavation: An information fusion approach

Zhang, Limao; Wu, Xianguo; Zhu, Hongping; AbouRizk, Simaan

doi:10.1016/j.autcon.2016.09.003

Cited by 120 publications

(55 citation statements)

References 54 publications

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“…In step 3, the aggregated SVNSs, the aggregated PIS and NIS are obtained. Then the distance for each aggregated SVNS between A * a and between A − * a can be calculated by Euclid distance Equation (8). The distance between A a j and A * a is calculated as follows:…”

Section: An Improved Multi-criteria Decision Making Methodsmentioning

confidence: 99%

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Multi-Attribute Decision Making Method Based on Aggregated Neutrosophic Set

2019

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Multi-attribute decision-making refers to the decision-making problem of selecting the optimal alternative or sorting the scheme when considering multiple attributes, which is widely used in engineering design, economy, management and military, etc. But in real application, the attribute information of many objects is often inaccurate or uncertain, so it is very important for us to find a useful and efficient method to solve the problem. Neutrosophic set is proposed from philosophical point of view to handle inaccurate information efficiently, and a single-valued neutrosophic set (SVNS) is a special case of neutrosophic set, which is widely used in actual application fields. In this paper, a new method based on single-valued neutrosophic sets aggregation to solve multi-attribute decision making problem is proposed. Firstly, the neutrosophic decision matrix is obtained by expert assessment, a score function of single-valued neutrosophic sets (SVNSs) is defined to obtain the positive ideal solution (PIS) and the negative ideal solution (NIS). Then all alternatives are aggregated based on TOPSIS method to make decision. Finally numerical examples are given to verify the feasibility and rationality of the method.

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Section: An Improved Multi-criteria Decision Making Methodsmentioning

confidence: 99%

“…With the rapid development of human society, the social environment has become more and more complex, which makes us have difficulties in making actual decision [1][2][3][4][5][6][7][8][9]. Therefore, in recent years, more and more attention has been paid to multi-attribute decision making [10][11][12][13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Multi-Attribute Decision Making Method Based on Aggregated Neutrosophic Set

2019

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“…The Dempster-Shafer theory is an effective tool to express uncertainty information and make information fusion. [20][21][22][23] The research related to the Dempster-Shafer theory 1,2 has attracted much interest, including uncertainty measure, 24,25 evidential network, 26,27 evidence combination, [28][29][30] conflict management, 31,32 likelihood function, 33,34 and so on. [35][36][37] On the basis of the Dempster-Shafer theory, many new models handling uncertainty information have also been proposed, like D numbers.…”

Section: Dempster-shafer Evidence Theorymentioning

confidence: 99%

A new probability transformation method based on a correlation coefficient of belief functions

2019

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The Dempster‐Shafer evidence theory is widely used in many fields of information fusion because of its advantage in handling uncertain information. One of the key issues in this theory is how to make decision based on a basic probability assignment (BPA). Currently, a feasible scheme is transforming a BPA to a distribution of probabilities. However, little attention was paid to the correlation between BPA and probability distribution. In this paper, a novel method about the probability transformation based on a correlation coefficient of belief functions is proposed. The correlation coefficient is a new measurement, which can effectively measure the correlation between BPAs. The proposed method aims at maximizing the correlation coefficient between the given BPA and the transformed probability distribution. On the basis of this idea, the corresponding probability distribution can be obtained and could reflect the original information of the given BPA to the maximum extent. It is valid to consider that the proposed probability transformation method is reasonable and effective. Numerical examples are given to show the effectiveness of the proposed method.

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“…At present, domestic and foreign scholars have proposed many methods for equipment fault diagnosis, including qualitative analysis-based method, 3,4 modelbased method, 5,6 data-driven-based method, [7][8][9][10] and so on. The qualitative analysis-based method, which analyzes the causality and development law of equipment failure, needs to rely on some qualitative analysis tools and combine with expert knowledge and system knowledge to carry out knowledge reasoning, including graph theory methods, 11 expert systems, [12][13][14] qualitative simulation, 15 and so on.…”

Section: Introductionmentioning

confidence: 99%

Fault diagnosis method based on time domain weighted data aggregation and information fusion

Zhang

Jiang

Deng

2019

International Journal of Distributed Sensor Networks

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Fault diagnosis of equipment is a key issue in the industrial field, and it is essential to keep abreast of equipment status. However, previous studies either considered fault data at a single moment or gave the same weight to data over a period of time. In view of the problems above, fault diagnosis method based on time domain weighted data aggregation and information fusion is proposed in this article. First, the monitored data of sensors loaded by the equipment are aggregated utilizing the linear decaying weights. Then, Gaussian models of each fault type under different fault features are established based on aggregated data. And the basic probability assignments are generated by matching aggregated testing samples with the constructed Gaussian model. At last, the basic probability assignments generated under each fault feature are fused by Dempster combination rule. The proposed method is verified and the results show that the total fault recognition rate can reach 97.5%, which increased by 1.9% compared with the method that Gaussian model constructed by original data.

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Perceiving safety risk of buildings adjacent to tunneling excavation: An information fusion approach

Cited by 120 publications

References 54 publications

Multi-Attribute Decision Making Method Based on Aggregated Neutrosophic Set

Multi-Attribute Decision Making Method Based on Aggregated Neutrosophic Set

A new probability transformation method based on a correlation coefficient of belief functions

Fault diagnosis method based on time domain weighted data aggregation and information fusion

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