A Knowledge-Based Decision Support System for Roofing Materials Selection and Cost Estimating: A Conceptual Framework and Data Modelling

Sazzadur Rahman; Srinath Perera; Henry Odeyinka; Yaxin Bi

A Knowledge-Based Decision Support System for Roofing Materials Selection and Cost Estimating: A Conceptual Framework and Data Modelling

Sazzadur Rahman, Srinath Perera, Henry Odeyinka, Yaxin Bi

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

A plethora of materials is available to the modern day house designer but selecting theappropriate material is a complex task. It requires synthesising a multitude ofperformance criteria such as initial cost, maintenance cost, thermal performance andsustainability among others. This research aims to develop a Knowledge-basedDecision support System for Material Selection (KDSMS) that facilitates the selectionof optimal material for different sub elements of a roof design. The proposed systemalso has a facility for estimating roof cost based on the identified criteria. This paperpresents the data modelling conceptual framework for the proposed system. The roofsub elements are modelled on the Building Cost Information Service (BCIS) StandardForm of Cost Analysis. This model consists of a knowledge base and a database tostore different types of roofing materials with their corresponding performancecharacteristics and rankings. The system’s knowledge is elicited from an extensivereview of literature and the use of a domain expert forum. The proposed systememploys the multi criteria decision method of TOPSIS (Technique of rankingPreferences by Similarity to the Ideal Solution), to resolve the materials selection andoptimisation problem. The KDSMS is currently being developed for the housingsector of Northern Ireland.Keywords: TOPSIS, cost modelling, knowledge-based system, decision supportsystem, roofing material selection.

Original language	English
Title of host publication	ARCOM Twenty-Fifth Annual Conference 2009 Volume 2
Place of Publication	Reading
Publisher	Association of Researchers in Construction Management
Pages	1081-1090
Number of pages	10
Volume	2
ISBN (Print)	978-0-9552390-1-4
Publication status	Published (in print/issue) - 9 Sept 2009
Event	Association of Researchers in Construction Management (ARCOM) Annual Conference - Nottingham, UK Duration: 9 Sept 2009 → …

Conference

Conference	Association of Researchers in Construction Management (ARCOM) Annual Conference
Period	9/09/09 → …

Keywords

TOPSIS
cost modelling
knowledge-based system
decision support
system
roofing material selection.

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Rahman, S., Perera, S., Odeyinka, H., & Bi, Y. (2009). A Knowledge-Based Decision Support System for Roofing Materials Selection and Cost Estimating: A Conceptual Framework and Data Modelling. In ARCOM Twenty-Fifth Annual Conference 2009 Volume 2 (Vol. 2, pp. 1081-1090). Association of Researchers in Construction Management. http://uir.ulster.ac.uk/13818/1/Sazzadur_ARCOM2009.pdf

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abstract = "A plethora of materials is available to the modern day house designer but selecting theappropriate material is a complex task. It requires synthesising a multitude ofperformance criteria such as initial cost, maintenance cost, thermal performance andsustainability among others. This research aims to develop a Knowledge-basedDecision support System for Material Selection (KDSMS) that facilitates the selectionof optimal material for different sub elements of a roof design. The proposed systemalso has a facility for estimating roof cost based on the identified criteria. This paperpresents the data modelling conceptual framework for the proposed system. The roofsub elements are modelled on the Building Cost Information Service (BCIS) StandardForm of Cost Analysis. This model consists of a knowledge base and a database tostore different types of roofing materials with their corresponding performancecharacteristics and rankings. The system{\textquoteright}s knowledge is elicited from an extensivereview of literature and the use of a domain expert forum. The proposed systememploys the multi criteria decision method of TOPSIS (Technique of rankingPreferences by Similarity to the Ideal Solution), to resolve the materials selection andoptimisation problem. The KDSMS is currently being developed for the housingsector of Northern Ireland.Keywords: TOPSIS, cost modelling, knowledge-based system, decision supportsystem, roofing material selection.",

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author = "Sazzadur Rahman and Srinath Perera and Henry Odeyinka and Yaxin Bi",

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Rahman, S, Perera, S, Odeyinka, H & Bi, Y 2009, A Knowledge-Based Decision Support System for Roofing Materials Selection and Cost Estimating: A Conceptual Framework and Data Modelling. in ARCOM Twenty-Fifth Annual Conference 2009 Volume 2. vol. 2, Association of Researchers in Construction Management, Reading, pp. 1081-1090, Association of Researchers in Construction Management (ARCOM) Annual Conference, 9/09/09. <http://uir.ulster.ac.uk/13818/1/Sazzadur_ARCOM2009.pdf>

A Knowledge-Based Decision Support System for Roofing Materials Selection and Cost Estimating: A Conceptual Framework and Data Modelling. / Rahman, Sazzadur; Perera, Srinath; Odeyinka, Henry et al.
ARCOM Twenty-Fifth Annual Conference 2009 Volume 2. Vol. 2 Reading: Association of Researchers in Construction Management, 2009. p. 1081-1090.

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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T1 - A Knowledge-Based Decision Support System for Roofing Materials Selection and Cost Estimating: A Conceptual Framework and Data Modelling

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AU - Perera, Srinath

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AB - A plethora of materials is available to the modern day house designer but selecting theappropriate material is a complex task. It requires synthesising a multitude ofperformance criteria such as initial cost, maintenance cost, thermal performance andsustainability among others. This research aims to develop a Knowledge-basedDecision support System for Material Selection (KDSMS) that facilitates the selectionof optimal material for different sub elements of a roof design. The proposed systemalso has a facility for estimating roof cost based on the identified criteria. This paperpresents the data modelling conceptual framework for the proposed system. The roofsub elements are modelled on the Building Cost Information Service (BCIS) StandardForm of Cost Analysis. This model consists of a knowledge base and a database tostore different types of roofing materials with their corresponding performancecharacteristics and rankings. The system’s knowledge is elicited from an extensivereview of literature and the use of a domain expert forum. The proposed systememploys the multi criteria decision method of TOPSIS (Technique of rankingPreferences by Similarity to the Ideal Solution), to resolve the materials selection andoptimisation problem. The KDSMS is currently being developed for the housingsector of Northern Ireland.Keywords: TOPSIS, cost modelling, knowledge-based system, decision supportsystem, roofing material selection.

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KW - cost modelling

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SN - 978-0-9552390-1-4

VL - 2

SP - 1081

EP - 1090

BT - ARCOM Twenty-Fifth Annual Conference 2009 Volume 2

PB - Association of Researchers in Construction Management

CY - Reading

T2 - Association of Researchers in Construction Management (ARCOM) Annual Conference

Y2 - 9 September 2009

ER -

A Knowledge-Based Decision Support System for Roofing Materials Selection and Cost Estimating: A Conceptual Framework and Data Modelling

Abstract

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Keywords

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