Items with Index Term: fuzzy inference

Abuhishmeh, K S K (2023) Risk assessment of reinforced concrete sewer pipes under external loading and adverse environmental conditions using an adaptive neuro-fuzzy system. PhD thesis, University of Texas at Arlington, USA.

Adeyemi, H O; Adejuyigbe, S B; Ismaila, S O and Adekoya, A F (2015) Low back pain assessment application for construction workers. Journal of Engineering, Design and Technology, 13(3), pp. 419-434.

Akbari, S; Pour Rahimian, F; Sheikhkhoshkar, M; Banihashemi, S and Khanzadi, M (2020) Dynamic sustainable success prediction model for infrastructure projects: a rough set based fuzzy inference system. Construction Innovation, 20(4), pp. 545-567. ISSN 1471-4175

Akinade, O O (2017) BIM-based software for construction waste analytics using artificial intelligence hybrid models. PhD thesis, University of the West of England, Bristol, UK.

Al-Mhdawi, M K S (2022) Risk management of construction projects under extreme conditions: a case study of Iraq. PhD thesis, University of Southampton, UK.

Alhosani, Y (2017) An empirical investigation of the demographics of top management team (TMT) and its influence in forecasting organizational outcome in international architecture, engineering and construction (AEC) firms: A fuzzy set approach. DEng thesis, Ecole de Technologie Superieure, Canada.

Chakhrit, A and Chennoufi, M (2023) Failure mode, effects and criticality analysis improvement by using new criticality assessment and prioritization based approach. Journal of Engineering, Design and Technology, 21(5), pp. 1545-1567. ISSN 1726-0531

Daoud, A O; KhairEldin, M; Ibrahim, A H and Toma, H M (2026) Adaptive neuro-fuzzy inference system for Egyptian residential construction waste prediction. International Journal of Construction Management, 26(6), pp. 1059-1077. ISSN 1562-3599

Faraji, A (2021) Neuro-fuzzy system based model for prediction of project performance in downstream sector of petroleum industry in Iran. Journal of Engineering, Design and Technology, 19(6), pp. 1268-1290. ISSN 1726-0531

Gaur, S and Tawalare, A (2024) Assessing the implications of BIM on sustainability of construction projects through design risk management. Built Environment Project and Asset Management, 14(3), pp. 470-489. ISSN 2044-124X

Gebretekle, Y T and Fayek, A R (2023) Fuzzy agent-based modeling of competency and performance measures in construction. Journal of Construction Engineering and Management, 149(12): 04023133, ISSN 0733-9364

Gunduz, M; Naji, K and Maki, O (2025) A framework for evaluating campus facility management performance in light of project critical success factors using a multidimensional fuzzy logic approach. Engineering, Construction and Architectural Management, 32(3), pp. 1715-1738. ISSN 0969-9988

Jin, X H (2011) Model for efficient risk allocation in privately financed public infrastructure projects using neuro-fuzzy techniques. Journal of Construction Engineering and Management, 137(11), pp. 1003-1014. ISSN 0733-9364

Jumas, D; Mohd-Rahim, F A; Zainon, N and Utama, W P (2018) Improving accuracy of conceptual cost estimation using MRA and ANFIS in Indonesian building projects. Built Environment Project and Asset Management, 8(4), pp. 348-357. ISSN 2044-124X

Karmarkar, O D; Krishnan, S G; Delhi, V S K and Velaga, N R R (2022) Risk assessment of underground and elevated metro projects from clients' and contractors' perspective. Built Environment Project and Asset Management, 12(6), pp. 887-905. ISSN 2044-124X

Kiani Mavi, N; Brown, K; Fulford, R and Goh, M (2024) Forecasting project success in the construction industry using adaptive neuro-fuzzy inference system. International Journal of Construction Management, 24(14), pp. 1550-1568. ISSN 1562-3599

Kim, H and Ham, Y (2021) Increasing reliability of participatory sensing for utility pole condition assessment using fuzzy inference. Journal of Construction Engineering and Management, 147(1): 0001968, ISSN 0733-9364

Lan, Roy Uzoma (2025) Advancing workplace safety through intelligent monitoring: Applications of artificial intelligence and computer vision in high-risk industrial environments. PhD thesis, The University of Texas at San Antonio, USA.

Malekaee Ashtiyani, F.; Karimi Gavareshki, M. h and Gheidar-Kheljani, J. (2026) Real-time prediction of project duration deviation using CNN-LSTM-FIS. Built Environment Project and Asset Management, 16(2), pp. 304-320. ISSN 2044-124X

Mhady, A A; Gürgün, A P; Budayan, C and Koc, K (2025) New hybrid models integrating the firefly optimization algorithm with the artificial neural networks and adaptive neuro-fuzzy inference systems to improve estimation at completion. Journal of Construction Engineering and Management, 151(11): 04025160, ISSN 0733-9364

Nguyen, P H D; Tran, D Q and Lines, B C (2020) Empirical inference system for highway project delivery selection using fuzzy pattern recognition. Journal of Construction Engineering and Management, 146(12): 04020141, ISSN 0733-9364

Nuhu, B K; Aliyu, I; Adegboye, M A; Ryu, J K; Olaniyi, O M and Lim, C G (2021) Distributed network-based structural health monitoring expert system. Building Research & Information, 49(1), pp. 144-159. ISSN 0961-3218

Oladokun, V O; Proverbs, D G and Lamond, J (2017) Measuring flood resilience: A fuzzy logic approach. International Journal of Building Pathology and Adaptation, 35(5), pp. 470-487.

Olatunji, E O; Adebimpe, O A and Oladokun, V O (2023) A fuzzy logic approach for measuring flood resilience at community level in Nigeria. International Journal of Disaster Resilience in the Built Environment, 14(4), pp. 434-452. ISSN 1759-5916

Osman, H M and El-Diraby, T E (2011) Knowledge-enabled decision support system for routing urban utilities. Journal of Construction Engineering and Management, 137(3), pp. 198-213. ISSN 0733-9364

Patil, S; Goudar, M and Kharadkar, R (2022) Neural network-based estimation of lighting condition in indoor environment with improved brain storm algorithm. Journal of Engineering, Design and Technology, 20(6), pp. 1565-1580. ISSN 1726-0531

Prieto, A J and Alarcón, L F (2023) Using fuzzy inference systems for lean management strategies in construction project delivery. Journal of Construction Engineering and Management, 149(9): 04023083, ISSN 0733-9364

Roofigari-Esfahan, N and Razavi, S (2017) Uncertainty-aware linear schedule optimization: A space-time constraint-satisfaction approach. Journal of Construction Engineering and Management, 143(5): 04016132, ISSN 0733-9364

Santamaria Carrera, J L (2017) Quantifying the effect of construction site factors on concrete quality, costs and production rates. PhD thesis, University of New Mexico, USA.

Sarihi, M; Shahhosseini, V and Banki, M T (2023) Development and comparative analysis of the fuzzy inference system-based construction labor productivity models. International Journal of Construction Management, 23(3), pp. 423-433. ISSN 1562-3599

Tafazzoli, M (2017) Dynamic risk analysis of construction delays using fuzzy-failure mode effects analysis. PhD thesis, University of Nevada, Las Vegas, USA.

Tajaddini, A; Pirooznezhad, L; Ravanshadnia, M and Coley, D (2024) Fuzzy inference decision model to quantify the effectiveness of incentives on delivering green buildings. International Journal of Construction Management, 24(15), pp. 1599-1616. ISSN 1562-3599

Tiruneh, G G and Fayek, A R (2022) Hybrid GA-manfis model for organizational competencies and performance in construction. Journal of Construction Engineering and Management, 148(4): 04022002, ISSN 0733-9364

Tiruneh, Getaneh Gezahegne (2021) Hybrid neuro-fuzzy model for construction organizational competencies and performance. PhD thesis, University of Alberta, Canada.

Tsehayae, A A and Fayek, A R (2016) Developing and optimizing context-specific fuzzy inference system-based construction labor productivity models. Journal of Construction Engineering and Management, 142(7): 4016017, ISSN 0733-9364

Utama, W P; Chan, A P C; Zahoor, H; Gao, R and Jumas, D Y (2019) Making decision toward overseas construction projects: An application based on adaptive neuro fuzzy system. Engineering, Construction and Architectural Management, 26(2), pp. 285-302. ISSN 0969-9988

Wibowo, A and Sundermeier, M (2020) Developing a fuzzy value-for-money analysis model for annuity-based public-private partnership infrastructure projects under consideration of risk mitigation capability. Journal of Construction Engineering and Management, 146(7): 04020081, ISSN 0733-9364

Xu, Y; Chan, A P C and Yeung, J F Y (2010) Developing a fuzzy risk allocation model for PPP projects in China. Journal of Construction Engineering and Management, 136(8), pp. 894-903. ISSN 0733-9364

Zarghami, S A and Dumrak, J (2021) Reimaging stakeholder analysis in project management: Network theory and fuzzy logic applications. Engineering, Construction and Architectural Management, 28(9), pp. 2426-2447. ISSN 0969-9988

Zarghami, S A and Gunawan, I (2020) A fuzzy-based vulnerability assessment model for infrastructure networks incorporating reliability and centrality. Engineering, Construction and Architectural Management, 27(3), pp. 725-744. ISSN 0969-9988

Zhang, M; Cao, Z; Yang, Z and Zhao, X (2020) Utilizing computer vision and fuzzy inference to evaluate level of collision safety for workers and equipment in a dynamic environment. Journal of Construction Engineering and Management, 146(6): 04020051, ISSN 0733-9364