الفهرس 
AbstractOnly 14 pages are availabe for public view
 |  | from | 114 |  |  |
| | | from | 114 | | |
Abstract
Animal diseases have constituted a major problem in many developing and developed countries. The existence of analytical capabilities in the current computer systems, is one of the major limitation encounters the decision making process in the Egyptian animal production domain.
This thesis presents a research effort for helping policy/decision makers to improve animal production in Egypt. The approach taken in this research is multidisciplinary one. It integrates the Online Analytical Processing (OLAP), Geographical Information System (GIS), Spatial Analysis functions and Multi-Criteria Decision Analysis (MCDA) capabilities to develop a Multi-Criteria Spatial Decision Support System (MC-SDSS).
The main objective of this thesis is to generate a composite map for decision makers by using some effective factors affect animal production in Egypt. This research visualizes and analyzes different factors such as ”Diseases”, ”Climate”, ”Soil Pollution” and ”Economical factors” which affect the animal production in Egypt. The research takes into consideration the influence of each factor since the importance and influence of each factor differs according to the policy/decision maker’s point of view.
Shortly, this research has developed a multi-criteria spatial decision support system (MC-SDSS) as a tool for decision making and planning. MC-SDSS can be used to assess different criteria with different weights. MC-SDSS facilitates the integration of the exploration and evaluation phases of the decision-making process in a transparent and interactive system that allows policy/decision makers to carry out the analysis without advanced geographical information system (GIS) or multiple criteria decision analysis (MCDA) training. This research uses the weighted overlay method to support data spatial analysis, and then visualize and analyze different factors such as ”Diseases”, ”Climate” and ”Economical factors” which affect the animal production in Egypt. The designed software allows users (policy/decision makers) to change their weights and parameters according to their different study areas. Moreover they can use final suitability maps from this tool to verify the effectiveness of the tool.