A knowledge-based decision support system for roofing materials selection

Sazzadur Rahman, Srinath Perera, Henry Odeyinka, Yaxin Bi

Research output: Contribution to conferencePaperpeer-review


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.
Original languageEnglish
Publication statusPublished - 10 Sept 2009
EventCOBRA 2009 - University of Cape Town
Duration: 10 Sept 2009 → …


ConferenceCOBRA 2009
Period10/09/09 → …
Internet address


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