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.
|Title of host publication||COBRA 2009|
|Place of Publication||London, United Kingdom|
|Number of pages||10|
|Publication status||Published - 11 Sep 2009|
|Event||RICS COBRA Research Conference - Cape Town, South Africa|
Duration: 11 Sep 2009 → …
|Conference||RICS COBRA Research Conference|
|Period||11/09/09 → …|
- knowledge-based system
- decision support system
- roofing material selection
Rahman, S., Perera, S., Odeyinka, H., & Bi, Y. (2009). A knowledge-based decision support system for roofing materials selection and cost estimating. In COBRA 2009 (Vol. 1, pp. 1753-1762). London, United Kingdom.