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

Sazzadur Rahman, Srinath Perera, Henry Odeyinka, Yaxin Bi

Research output: Chapter in Book/Report/Conference proceedingChapter

4 Citations (Scopus)

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.
Original languageEnglish
Title of host publicationCOBRA 2009
Place of PublicationLondon, United Kingdom
Pages1753-1762
Number of pages10
Volume1
Publication statusPublished - 11 Sep 2009
EventRICS COBRA Research Conference - Cape Town, South Africa
Duration: 11 Sep 2009 → …

Conference

ConferenceRICS COBRA Research Conference
Period11/09/09 → …

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Keywords

  • TOPSIS
  • knowledge-based system
  • decision support system
  • roofing material selection

Cite this

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.