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Intelligent Selection of Demolition Techniques
(Englisch)
A Case Study on United Kingdom Demolition Industry
Arham Abdullah & Chimay J. Anumba & Mohammad Ali Kazerooni Sadi

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Autor/Autorin: Abdullah Arham

Arham Abdulah : Associate Professor at Faculty of Civil Engineering,Universiti Teknologi Malaysia . Chimay J. Anumba : Department Head and Professor of Architectural Engineering,PSU. Mohammad Ali Kazerooni Sadi : Researcher at Faculty of Civil Engineering, UTM.
There is a need to improve the current demolition techniques selection process that involves a multicriteria decision making problems because the decision performed by demolition engineers were based on their knowledge and experience without any systematic procedure that can be followed to support the decision process. There is also a need to capture the expert´s knowledge since significant proportion of senior, experienced demolition engineers are close to retirement, and unless their knowledge is captured in some form, it would be lost. Concerning to these needs, the book aim is to develop an intelligent decision support system that incorporated the demolition expert´s knowledge in selecting the most appropriate demolition techniques for a given structure.
There is a need to improve the current demolition techniques selection process that involves a multicriteria decision making problems because the decision performed by demolition engineers were based on their knowledge and experience without any systematic procedure that can be followed to support the decision process. There is also a need to capture the expert s knowledge since significant proportion of senior, experienced demolition engineers are close to retirement, and unless their knowledge is captured in some form, it would be lost. Concerning to these needs, the book aim is to develop an intelligent decision support system that incorporated the demolition expert s knowledge in selecting the most appropriate demolition techniques for a given structure.


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