Cooperative Spatial Decision Support System for Controlling Animal Diseases Outbreaks in Egypt

Mahmoud Bakr Department of Expert System Tools, Central Lab. For Agricultural Expert Systems,ARC, Egypt Email: [email protected] Mona Nasr Department of Information Systems, Faculty of Computers & Info.,Helwan University, Egypt Email: [email protected] Maryam Hazman Department of Testing and Training, Central Lab. For Agricultural Expert Systems,ARC, Egypt Email: [email protected] ----------------------------------------------------------------------ABSTRACT----------------------------------------------------------Decision Support System (DSS) aims to help decision maker in the process of making decision, a Spatial Decision Support System (SDSS) is a DSS deals with spatial problem or use spatial data in solving a problem. Animal Diseases Spatial Decision Support System (ADSDSS) utilizes the capabilities of Data warehouse, Online Analytical Processing (OLAP), Geographic Information System (GIS), data mining techniques and knowledge base systems to provide decision makers with their needed information about the infected animals, infected places and diseases outbreaks. This information is displayed as reports or charts or allocated on a map which illustrates the most and the least affected places in an easy and fast way. So decision makers can take the right decision to control the spread of diseases outbreaks. For building ADSDSS the following steps are done (a) Animal diagnosis data from different data bases with climate database collected into a repository data warehouse for generating diagnosis data mart, (b) OLAP capabilities integrated with the diagnosis data mart for analysis and aggregation of data, (c) One of data mining techniques was applied and integrated into the system (association rules) to discover the relationships between different data items, (d) GIS spatial analysis and visualization capabilities integrated with the system to analyze diagnosis data and generate maps of diseases and outbreaks, (e) decisions suggestion capability integrated into the system to provide decision makers with suggestions and solutions to deal with diseases outbreaks. The experimental results show that the proposed system can provide the decision makers with their needed information in a fast and easy way.