An agent system for managing uncertainty in the integration of spatio-environmental data

Autor:	Maria A. Cobb, Marcin Paprzycki, Frederick E. Petry, Dia L. Ali
Rok vydání:	2003
Předmět:	Focal point Lead (geology) Process (engineering) Information system Computational intelligence Geometry and Topology Fuzzy logic Data science Software Theoretical Computer Science Environmental data Information integration
Zdroj:	Soft Computing - A Fusion of Foundations, Methodologies and Applications. 7:402-411
ISSN:	1433-7479 1432-7643
Popis:	Recent applications in environmental systems have necessitated the integration of data from multiple, heterogeneous sources. The integration process involves challenges related to issues of uncertainty and imprecision associated with both the data and the process itself. While the handling of uncertainty in geographical information systems (GIS) has been a focal point of research in recent years, the additional challenges of dealing with multiple data sources and types, as well as specific fields of analysis, lead to much more complex situations. In this paper, we present a framework for the use of fuzzy mobile agents to address these additional challenges from the standpoint of large-scale environmental systems.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::35a4f86d57f664bed12e150000d39a27 https://doi.org/10.1007/s00500-002-0229-z Zobrazit plný text záznamu Full text from SpringerLink