Al-Saggaf, A; Hegazy, T; Nasir, H and Taha, M (2022) Computerized DSS for evaluating design performance of residential buildings using additive weighting approach. Architectural Engineering and Design Management, 18(5), pp. 631-651. ISSN 1745-2007
Abstract
Early architectural decisions have an enormous impact on the long-term performance of buildings. Evaluating architectural designs remains a subjective and biased process that varies from one person to another. Based on three questionnaires with 37 expert architects, seven Architectural Design Variables (ADVs) were identified, with a total of 40 design options that suit residential buildings. The experts defined the degree by which each ADV decision positively or negatively affect multiple life-cycle performance criteria: space functionality; construction time and cost; operational performance; and aesthetics. Based on that, this paper presents a novel Architectural Design Decision Support System (AD-DSS) to automatically evaluate and rank any combination of early design, using the Multi-Criteria Decision Analysis (MCDA) Simple Additive Weighting (SAW) method. The AD-DSS can automatically evaluate any combination of architectural design in terms of overall performance or a specific aspect without subjective inputs. Besides, a simple-user program developed to facilitate multiple system functions. A case study of a residential building with five different design alternatives demonstrated the powerful ability of the AD-DSS to provide early decision advice in a systematic and informed way to project stakeholders.
Item Type: | Article |
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Uncontrolled Keywords: | architectural variables; building design; computer program; decision support system; design quality; life-cycle performance; multi-criteria decision analysis; residential buildings |
Date Deposited: | 11 Apr 2025 12:10 |
Last Modified: | 11 Apr 2025 12:10 |