An integrated approach for Fuzzy Multi-entity Bayesian Networks and semantic analysis for soft and hard data fusion

Golestan, Keyvan; Karray, Fakhri; Kamel, Mohamed S.

doi:10.1109/fuzz-ieee.2015.7338086

Cited by 4 publications

(2 citation statements)

References 18 publications

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“…Such textual representation has allowed the investigation of basic human behavior [54]. For example, expressing the words in the message set as an undirected graph [55], ranking events based on event relation graph for a single document [56], and expressing relationships between entities by Multi-Entity Bayesian networks [57], and so on.…”

Section: Related Workmentioning

confidence: 99%

Reconstruction of ER Network from Specific Academic Texts for the Governance of MSW‐NIMBY Crisis in China

et al. 2021

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Along with urban development globally, the NIMBY (Not-In-My-Backyard) crisis has been a complex social problem, which requires urgent remedial action. The inevitable management of Municipal Solid Waste (MSW) has been one of the toughest risk management tasks in the worldwide modernization process. At present, certain fuzzy and unstructured results and methods have been formed for MSW-NIMBY crisis response, mainly focusing on the sociology and politics which scatter in complex and sensitive reports and news. Aiming at enhancing the effectiveness of data mining from specific sparse text of MSW-NIMBY crisis, an improved knowledge extraction method is developed. Through rule-based text mining and complex network analysis, the Entity Relationship (ER) network of MSW-NIMBY crisis is reconstructed. Meanwhile, a novel transitivity for relationship between entities in semantic analysis is proposed to improve the feasibility and accuracy of information extraction. Characteristics and regularity of MSW-NIMBY crisis evolution and experience of crisis governance could be identified effectively. Results show that knowledge integration and ER transitivity can enhance knowledge recognition and major other factors, which could help formulate the governance strategies of NIMBY crisis from academic texts.

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Section: Related Workmentioning

confidence: 99%

Reconstruction of ER Network from Specific Academic Texts for the Governance of MSW‐NIMBY Crisis in China

et al. 2021

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“…The main idea of the Bayesian-based method is to combine the observed data with the prior probability to calculate, so as to get the inference results. Reference [40] proposed a fuzzy multi-entity Bayesian network. It expressed data through ontology, and then achieved the purpose of data fusion and reasoning.…”

Section: F Other Algorithmsmentioning

confidence: 99%

Top-Down Human-Cyber-Physical Data Fusion Based on Reinforcement Learning

Chen

Wang

et al. 2020

IEEE Access

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With the development of industrial Internet and artificial intelligence, data fusion in crossdomains and cross-layers have become an inevitable trend. Most of the data fusion involved in the production process of hot rolling are concentrated on the level of sensors, Internet of Things (IoT) and the Internet; but human data are not well integrated. In order to avoid the human factor from becoming the bottleneck of the entire production schedule, this paper proposes a ternary data fusion model based on reinforcement learning algorithm. The related data source from human-cyber-physical space includes: social network, Internet and IoT. By merging the ternary data, a variety of data (including humans') can be quickly calculated to obtain better and faster decisions. In order to achieve automated fusion from ternary data, this paper proposes a method based on reinforcement learning: firstly, the domain ontology used for associating ternary data is reduced and tessellated (dimension reduction), and then the reinforcement learning model is used to form "the new ontology". Compared with resource-intensive global calculations (which may cost a few days), the new method can complete the calculations in minutes. This means that the new method optimizes the data source required for decision-making and improves the efficiency. Finally, the production scheduling of hot rolled steel is used as an example to verify the feasibility of the proposed method. INDEX TERMS human-cyber-physical data fusion, ternary data fusion, cyber-physical system, domain ontology, reinforcement learning

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A Dempster-Shafer Sensor Fusion Approach for Traffic Incident Detection and Localization

Mehrannia

Moghadam

Basir

2018

2018 21st International Conference on Intelligent Transportation Systems (ITSC)

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An integrated approach for Fuzzy Multi-entity Bayesian Networks and semantic analysis for soft and hard data fusion

Cited by 4 publications

References 18 publications

Reconstruction of ER Network from Specific Academic Texts for the Governance of MSW‐NIMBY Crisis in China

Reconstruction of ER Network from Specific Academic Texts for the Governance of MSW‐NIMBY Crisis in China

Top-Down Human-Cyber-Physical Data Fusion Based on Reinforcement Learning

A Dempster-Shafer Sensor Fusion Approach for Traffic Incident Detection and Localization

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