A multi-criteria decision-support framework for optimising intelligence in high-performance buildings
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Issue Vol. 25 No. 3 (2026)
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A multi-criteria decision-support framework for optimising intelligence in high-performance buildings
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Main Article Content
Authors
meryem.laraba@univ-constantine3.dz
mohamed.derradji@univ-constantine3.dz
Abstract
This study proposes an exploratory decision-support approach aimed at optimising the performance, spatial quality, and intelligence of high-performance architectural spaces. The methodology combines a structured literature review with numerical modelling based on the Analytic Hierarchy Process (AHP). The analytical framework addresses diverse uses of architectural space and their conceptual foundations, enabling the development of a multidimensional model of building intelligence integrating technological, environmental, and human-centred criteria. Four groups of themes and associated indices were identified and validated through a questionnaire survey conducted with a panel of experts. The results reveal strong interdependencies between the evaluated criteria and confirm the coherence and robustness of the proposed framework. This is further supported by a satisfactory consistency ratio within the AHP model (CR = 7.2%), indicating the reliability of the decision-making structure. The findings highlight the importance of moving beyond automation toward adaptive, data-driven, and user-centred intelligent systems. The proposed approach addresses the lack of reliable decision-support tools in the early stages of high-performance building design and provides practical implications for cost estimation, spatial quality management, environmental strategies, communication systems, and the integration of smart and passive technologies.
Keywords:
Sustainable Development Goal (SDG)
- Good health and well-being
- Clean water and sanitation
- Affordable and clean energy
- Industry, Innovation, Technology and Infrastructure
- Sustainable cities and communities
- Responsible consumption and production
- Climate action
- Life on land
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