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Issue title: Some highlights on fuzzy systems and data mining
Guest editors: Shilei Sun, Silviu Ionita, Eva Volná, Andrey Gavrilov and Feng Liu
Article type: Research Article
Authors: Cheng, Haitao*
Affiliations: School of Computer Science and Engineering, Northeastern University, Shenyang, Liaoning, China
Correspondence: [*] Corresponding author. Haitao Cheng, School of Computer Science and Engineering, Northeastern University, Shenyang, Liaoning, 110819, China. Tel.: +86 15940029332; Fax: +86 24 83681582; E-mail: haitaoneu@126.com.
Abstract: Spatiotemporal object management has been a topic of increasing interest in many application areas such as meteorological information systems, geographic information systems, and dynamic social networks. Because of increasing requirement for these applications, modeling and querying spaitotemporal objects are two core issues of spatio-temporal object management. However, spatiotemporal objects are not always crisp, but fuzzy and uncertain. This brings about the need for modeling and querying fuzzy spatiotemporal objects. In this paper, we propose a novel model for representing fuzzy spatiotemporal objects and their topological relations. Based on this model, we investigate how to design basic and complex fuzzy query operators so that it is possible to describe the evolution of fuzzy spatiotemporal objects over time. We also show how to integrate these query operators into the existing query language SQL to enable fuzzy spatiotemporal queries.
Keywords: Spatiotemporal management, fuzzy spatiotemporal object, topological relations, modeling, querying
DOI: 10.3233/JIFS-169167
Journal: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 6, pp. 2851-2858, 2016
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