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A Dempster-Shafer theory and uninorm-based framework of reasoning and multiattribute decision-making for surveillance system

Research output: Contribution to journalArticle

Original languageEnglish
Pages (from-to)3077-3104
Number of pages28
JournalInternational Journal of Intelligent Systems
Issue number11
Early online date10 Sep 2019
DateAccepted/In press - 10 Aug 2019
DateE-pub ahead of print - 10 Sep 2019
DatePublished (current) - 1 Nov 2019


Closed-circuit television and sensor-based intelligent surveillance systems have attracted considerable attentions in the field of public security affairs. To provide real-time reaction in the case of a huge volume of the surveillance data, researchers have proposed event-reasoning frameworks for modeling and inferring events of interest. However, they do not support decision-making, which is very important for surveillance operators. To this end, this paper incorporate a function of decision-making in an event-reasoning framework, so that our model not only can perform event-reasoning but also can predict, rank, and alarm threats according to uncertain information from multiple heterogeneous sources. In particular, we propose a multiattribute decision-making model, in which an object being watched is modeled as a multiattribute event, where each attribute corresponds to a specific source, and the information from each source can be used to elicit a local threat degree of different malicious situations with respect to the corresponding attribute. Moreover, to assess an overall threat degree of an object being observed, we also propose a method to fuse the conflict threat degrees regarding all the relevant attributes. Finally, we demonstrate the effectiveness of our framework by an airport security surveillance scenario.

    Research areas

  • ambiguity, decision-making under uncertainty, D-S theory of evidence, event modeling and reasoning, multiattribute decision-making, surveillance systems, uninorm



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    Embargo ends: 10/09/20

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