A multi-criteria decision-support framework for optimising intelligence in high-performance buildings

Meryem Laraba; Mohamed Derradji

doi:10.35784/bud-arch.8606

PDF (angielski)

Opublikowane: 2026-07-31

DOI: https://doi.org/10.35784/bud-arch.8606

Numer Tom 25 Nr 3 (2026)

Artykuły

A multi-criteria decision-support framework for optimising intelligence in high-performance buildings
Meryem Laraba, Mohamed Derradji

26036
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Archiwum

2026

Tom 25 Nr 3
2026-07-31 20
Tom 25 Nr 2
2026-06-26 18
Tom 25 Nr 1
2026-03-31 16

2025

Tom 24 Nr 4
2025-12-16 14
Tom 24 Nr 3
2025-09-30 13
Tom 24 Nr 2
2025-06-25 13
Tom 24 Nr 1
2025-03-31 12

2024

Tom 23 Nr 4
2025-01-02 11
Tom 23 Nr 3
2024-10-07 10
Tom 23 Nr 2
2024-06-15 8
Tom 23 Nr 1
2024-03-29 6

2023

Tom 22 Nr 4
2023-12-29 9
Tom 22 Nr 3
2023-09-29 5
Tom 22 Nr 2
2023-06-30 3
Tom 22 Nr 1
2023-03-30 3

2022

Tom 21 Nr 4
2022-12-14 8
Tom 21 Nr 3
2022-11-02 3
Tom 21 Nr 2
2022-08-31 3
Tom 21 Nr 1
2022-03-30 3

Authors

Meryem Laraba

meryem.laraba@univ-constantine3.dz

Department of Architecture; Faculty of Architecture and Urbanism; University of Constantine 3; Constantine

Algieria

https://orcid.org/0000-0003-3148-7846

Mohamed Derradji

mohamed.derradji@univ-constantine3.dz

Department of Architecture; Faculty of Architecture and Urbanism; University of Constantine 3; Constantine

Algieria

https://orcid.org/0009-0006-4443-2405

Abstrakt

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.

Słowa kluczowe:

high-performance buildings, smart architecture, exploratory approach, Analytic Hierarchy Process (AHP), decision-support framework

Cele Zrównoważonego Rozwoju (SDG)

Dobre zdrowie i jakość życia
Czysta woda i warunki sanitarne
Czysta i dostępna energia
Innowacyjność, Przemysł, Infrastruktura
Zrównoważone miasta i społeczności
Odpowiedzialna konsumpcja i produkcja
Działania w dziedzinie klimatu
Życie na lądzie

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Laraba, M. i Derradji, M. (2026) „A multi-criteria decision-support framework for optimising intelligence in high-performance buildings”, Budownictwo i Architektura / Civil and Architectural Engineering, 25(3), s. 26036. doi:10.35784/bud-arch.8606.

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