Fuzzy spatiotemporal object modeling based on UML class diagram

Issue title: Applied Mathematics Related to Nonlinear Problems

Guest editors: Juan L.G. Guirao and Wei Gao

Article type: Research Article

Authors: Chen, Xu^a | Cheng, Haitao^{a; *} | Wang, Hairong^b | Li, Weijun^a

Affiliations: [a] School of Computer Science and Engineering, Northeastern University, Shenyang, China | [b] School of Computer Science and Engineering, Bei fang Univesity of Nationalities, Yinchuan, China

Correspondence: [*] Corresponding author. Haitao Cheng, School of Computer Science and Engineering, Northeastern University, Shenyang 110819, China. Tex.: +86 15940029332; Fax: +86 2483681582; E-mail: haitaoneu@126.com.

Abstract: Fuzziness widely exists in most of spatiotemporal applications, but the existing spatiotemporal data models cannot support representation of fuzzy spatiotemporal objects and their semantic relationships. In this paper, after investigating the semantics of fuzzy spatiotemporal data, we propose a novel approach to model fuzzy spatiotemporal object based on UML class diagram. Firstly, we propose a formal definition about fuzzy spatiotemporal Event-Process. On this basis, the UML data model is extended to represent fuzzy spatial and temporal data. Finally, the potential usefulness of our fuzzy spatiotemporal UML object model is demonstrated with an example taken from Fujiwara Effect.

Keywords: Fuzzy spatiotemporal data, UML, event, process, modelling

DOI: 10.3233/JIFS-169322

Journal: Journal of Intelligent & Fuzzy Systems, vol. 33, no. 5, pp. 2727-2736, 2017