الفهرس 
Fuzzy Logic Nature and FeaturesOnly 14 pages are availabe for public view
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Abstract
Water management and control structures are key component in river management, particularly on surface water dependent nations like Egypt. This thesis addresses the need for the mass evaluation of the health conditions of presently standing hydraulic structures in Egypt. Those structures exemplify the backbone of the water management system in Egypt. As the nation struggles to preserve the already diminishing water resources, the importance of such study becomes more evident. In order to retain the performance of the water resources management, and to realize the most efficient usage of the resources, health monitoring schemes for these hydraulic structures had to be implemented, particularly when these structures become older in age. Such task necessitates the dedication of a rather large group of seasoned and veteran experts, to assess and study the existing structures thoroughly, and to create in depth reports on their structural condition and soundness.
This thesis builds upon the results of a nationwide study that covered a complete and manual analysis of the said structures. This systematic study was conducted on the current hydraulic structures by the Egyptian Government through the Ministry of Water Resources and Irrigation, to evaluate the health conditions of more than one hundred structures including most of the major barrages and regulators in Egypt. This study provided the decision makers with a “Prioritized Plan” or “master Plan” that aims at raising the efficiency of the major control structures along the Nile by suggesting either rehabilitation or replacement of the poorly performing old hydraulic structures in the country.
This “master Plan” included the generation of a full database of the studied structures’ key properties and features along with various test and assessment results. Those features were ensued by a single rating representing the overall condition evaluation of each considered structure. That study encompassed participation and lengthy dedicated work hours of numerous national and foreign experts, over and above an excessive sum of financial investment.
In order to be able to replicate this experience whenever necessary, without the need of assembling the whole expert board over again in the future, and to maximize the benefits of the already exerted efforts, work hours and investments, and to maximize the use of the consequential knowledge assembly, this thesis proposes an automated Decision Support System ‘DSS’ that would be created and fed with the gathered intellect to help in the health monitoring process of the hydraulic structures in Egypt. Using Artificial Intelligence ‘AI’ computer based logic to emulate the decision-making capabilities of the human experts. This system was constructed upon the fuzzy inference engine built upon the ‘MATLAB’ [1] software package and the underlying fuzzy logic ‘FL’ system. This system would enable the decision maker (be it a governmental organization or otherwise) to make faster informed decisions in much less time when deciding how to deal with a newly studied old structure.
In this system, the human experts’ evaluations are reproduced numerically by implementing Fuzzy Logic procedures. The system was programmed and nurtured by the data outputs extracted from the “master Plan” final reports. The system was subsequently tested against the extracted human produced decisions. The resulting Decision Support System shall provide the expected results for the select structures, with a minimal permissible margin of inaccuracy. That concludes the objective of the study of developing a preprogramed solution that is capable of supporting the decision maker while determining the destiny of newly-considered old structures.