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A knowledge-based decision support system for roofing materials selection and cost estimating

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Rahman, Sazzadur, Perera, Srinath, Odeyinka, Henry and Bi, Yaxin (2009) A knowledge-based decision support system for roofing materials selection and cost estimating. In: COBRA 2009. Royal Institution of Chartered Surveyors (RICS), London, United Kingdom, pp. 1753-1762. ISBN 978-1-84219-519-2 [Book section]

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Abstract

Varieties of materials are available for roof housing construction but selecting the appropriate material is a complex and ponderous task. In order to choose the right material, a multitude of performance criteria would need to be considered. This research aims to develop a knowledge-based decision support system for material selection (KDSMS) to facilitate the selection of optimal material for different sub elements of roof design. This model consists of a knowledge base and databases to store different types of roofing materials with their corresponding performance characteristics. Knowledge is elicited from domain experts and extensive literature review. The proposed system employs the use of TOPSIS (Technique of ranking Preferences by Similarity to the Ideal Solution) multiple criteria decision making method, to solve the materials selection and optimisation problem where initial cost, maintenance cost, thermal performance and sustainability criteria are considered among others. The proposed system is currently being developed for the housing sector in Northern Ireland. This paper presents and explains the framework of the proposed system.

Item Type:Book section
Keywords:TOPSIS, knowledge-based system, decision support system, roofing material selection
Faculties and Schools:Faculty of Art, Design and the Built Environment
Faculty of Art, Design and the Built Environment > School of the Built Environment
Research Institutes and Groups:Built Environment Research Institute
Built Environment Research Institute > Centre for Sustainable Technologies (CST)
ID Code:13810
Deposited By:Dr Henry Odeyinka
Deposited On:20 May 2010 12:50
Last Modified:20 May 2010 12:50

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