F-perceptory: an approach for handling fuzziness of spatiotemporal data in geographical databases. (2016)

• Record Type: Journal Article
• Authors: Zoghlami, Asma; Runz, Cyril De; Akdag, Herman
• Is Part Of: International journal of spatial, temporal and multimedia information systems. Volume 1:Number 1(2016)
• Page Start: 30
• Page End: 62
• Publication Date: 2016
• Subjects: imprecise data modelling -- fuzzy sets -- geographical information systems -- GIS -- spatiotemporal data -- unified modelling language -- UML -- fuzziness -- geographical databases -- relational databases -- object-oriented databases -- data representations; Geographic information systems -- Periodicals; Temporal databases -- Periodicals; Multimedia systems -- Periodicals; 005.753
• Languages: English
• ISSNs: 2052-3556

Abstract

In the literature, several studies have focused on introducing fuzzy extensions to the relational and/or object database models in order to store the imprecision. Indeed, on one hand, fuzzy EER and fuzzy UML are both applied for fuzzy object-oriented database modelling. On the other hand, Fuzzy ER is adapted for fuzzy relational database models. All these previous fuzzy conceptual modelling methods are not adapted to fuzzy spatiotemporal data. In this paper, we propose an approach for modelling imprecise data in object and relational databases based on the representation of data using connected and normalised fuzzy sets stored via α-cuts. The approach is applied to geographical information systems in order to handle imprecise spatiotemporal data.