Temporal Operators in representing fuzzy spatio-temporal regions using direction-based method
Subject Areas : Multimedia Processing, Communications Systems, Intelligent SystemsMajid Saidi Mobarakeh 1 , Mohammad Davarpanah Jazi 2
1 - Department of Computer Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
2 - Department of Computer and Information Technology, Foulad Institute of Technology, Foulad Shahr, Isfahan, Iran
Keywords: fuzzy regions, spatio-temporal databases, fuzzy temporal operators, geographic information systems,
Abstract :
Abstract
Uncertainty management in geometric data is an important issue for spatial databases and geographic information systems. Currently, spatial databases can only manage those geographic applications that interact with deterministic data. But in reality, many spatial data do not have definite area and boundary, but many of them have fuzzy surface and boundary. Researchers have provided different definitions of point, line and fuzzy area. In this research, a method for modeling two-dimensional fuzzy regions based on the concept of direction is proposed. The proposed method, membership function, and temporal operators are formally defined and implemented using SQL Server 2019. The proposed method has been compared with existing methods including grid, vector-carrier and triangulation in terms of memory complexity, time complexity and accuracy of data storage (creating noise) and its application. The proposed method is better than grid, vector-map and triangular methods in terms of memory complexity. It is also better than vector-map and triangulation methods in terms of time complexity. The accuracy of the proposed method is better than the grid and vector-map methods.
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