Items with Index Term: fuzzy set

Abdelazeem, A S and Ibrahim, A H (2022) Evaluation of project cost and schedule performance using fuzzy theory-based polynomial function. International Journal of Construction Management, 22(13), pp. 2564-2576. ISSN 1562-3599

Abdelgawad, M A M and Fayek, A R (2010) Risk management in the construction industry using combined fuzzy FMEA and fuzzy AHP. Journal of Construction Engineering and Management, 136(9), pp. 1028-1036. ISSN 0733-9364

Abdelgawad, M A M and Fayek, A R (2011) Fuzzy reliability analyzer: Quantitative assessment of risk events in the construction industry using fuzzy fault-tree analysis. Journal of Construction Engineering and Management, 137(4), pp. 294-302. ISSN 0733-9364

Abdelgawad, M A M and Fayek, A R (2012) Comprehensive hybrid framework for risk analysis in the construction industry using combined failure mode and effect analysis, fault trees, event trees, and fuzzy logic. Journal of Construction Engineering and Management, 138(5), pp. 642-651. ISSN 0733-9364

Abu-Shabeen, N N (2008) Development of multi-criteria decision analysis models for bidding and contractor selection. PhD thesis, Edinburgh Napier University, UK.

Ahiaga-Dagbui D D, T O and Smith S D, W S (2013) A neuro-fuzzy hybrid model for predicting final cost of water infrastructure projects. In: Smith, S D and Ahiaga-Dagbui, D D (eds.) Proceedings of 29th Annual ARCOM Conference, 2-4 September 2013, Reading, UK.

Al-Fadhala, M M (2002) Uncertainty-based condition assessment of existing concrete structures. PhD thesis, University of Maryland, College Park, USA.

Al-Humaidi, H M (2016) Construction projects bid or not bid approach using the fuzzy technique for order preference by similarity FTOPSIS method. Journal of Construction Engineering and Management, 142(12): 04016068, ISSN 0733-9364

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.

Alhumaidi, H M (2015) Construction contractors ranking method using multiple decision-makers and multiattribute fuzzy weighted average. Journal of Construction Engineering and Management, 141(4): 04014092, ISSN 0733-9364

Alipour-Bashary, M; Ravanshadnia, M; Abbasianjahromi, H and Asnaashari, E (2022) Building demolition risk assessment by applying a hybrid fuzzy FTA and fuzzy critic-TOPSIS framework. International Journal of Building Pathology and Adaptation, 40(1), pp. 134-159. ISSN 23984708

Ameyaw, E E; Edwards, D J; Kumar, B; Thurairajah, N; Owusu-Manu, D G and Oppong, G D (2023) Critical factors influencing adoption of blockchain-enabled smart contracts in construction projects. Journal of Construction Engineering and Management, 149(3): 04023003, ISSN 0733-9364

Amiri, O; Rahimi, M; Ayazi, A and Khazaeni, G (2024) Multi-criteria decision-making model for EPC contractor prequalification: A hybrid approach. International Journal of Building Pathology and Adaptation, 42(3), pp. 369-385. ISSN 23984708

Ammar, M A and Abd-ElKhalek, S I (2022) Criticality measurement in fuzzy project scheduling. International Journal of Construction Management, 22(2), pp. 252-261. ISSN 1562-3599

Andersson, L (1988) The theory of possibility and fuzzy sets: New ideas for risk analysis and decision-making. TaknDr thesis, Kungliga Tekniska Hogskolan, Sweden.

Andrić, J M; Wang, J; Zou, P X W; Zhang, J and Zhong, R (2019) Fuzzy logic-based method for risk assessment of belt and road infrastructure projects. Journal of Construction Engineering and Management, 145(12): 4019082, ISSN 0733-9364

Apa, R and Sedita, S R (2017) How (do) internal capabilities and the geography of business networks shape the performance of contractors in public procurement tenders? Evidence from the construction industry. Construction Management and Economics, 35(7), pp. 404-419. ISSN 01446193

Ashuri, B and Tavakolan, M (2012) Fuzzy enabled hybrid genetic algorithm-particle swarm optimization approach to solve tcro problems in construction project planning. Journal of Construction Engineering and Management, 138(9), pp. 1065-1074. ISSN 0733-9364

Awad, A and Fayek, A R (2013) Adaptive learning of contractor default prediction model for surety bonding. Journal of Construction Engineering and Management, 139(6), pp. 694-704. ISSN 0733-9364

Ayyub, B M (1983) Structural safety analysis of reinforced concrete buildings during construction (fuzzy set). PhD thesis, Georgia Institute of Technology, USA.

Ayyub, B M and Haidar, A (1984) Project scheduling using fuzzy set concepts. Journal of Construction Engineering and Management, 110(2), pp. 189-204. ISSN 0733-9364

Ayyub, B M and Haidar, A (1985) Decisions in construction operations. Journal of Construction Engineering and Management, 111(4), pp. 343-357. ISSN 0733-9364

Bajar, K; Kamat, A; Shanker, S and Barve, A (2024) Blockchain technology: A catalyst for reverse logistics of the automobile industry. Smart and Sustainable Built Environment, 13(1), pp. 133-178. ISSN 2046-6099

Bender, M J (1996) A framework for collaborative planning and investigations of decision support tools for hydro development. PhD thesis, University of Manitoba, Canada.

Besiktepe, D (2021) Multi-criteria decision-making approach for building maintenance in facility management. PhD thesis, Colorado State University, USA.

Bonnal, P; Gourc, D and Lacoste, G (2004) Where do we stand with fuzzy project scheduling? Journal of Construction Engineering and Management, 130(1), pp. 114-123. ISSN 0733-9364

Boudet, H S; Jayasundera, D C and Davis, J (2011) Drivers of conflict in developing country infrastructure projects: Experience from the water and pipeline sectors. Journal of Construction Engineering and Management, 137(7), pp. 498-511. ISSN 0733-9364

Casady, C B (2019) Assessing public-private partnership (PPP) governance, institutionalization, and market maturity in the United States and abroad. PhD thesis, Stanford University, USA.

Castro-Lacouture, D; Süer, G A; Gonzalez-Joaqui, J and Yates, J K (2009) Construction project scheduling with time, cost, and material restrictions using fuzzy mathematical models and critical path method. Journal of Construction Engineering and Management, 135(10), pp. 1096-1104. ISSN 0733-9364

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

Chan, A P C; Chan, D W M and Yeung, J F Y (2009) Overview of the application of "fuzzy techniques" in construction management research. Journal of Construction Engineering and Management, 135(11), pp. 1241-1252. ISSN 0733-9364

Chang, T-C (1987) Network resource allocation using an expert system with fuzzy logic reasoning. PhD thesis, University of California, Berkeley, USA.

Cheng, M.; Chong, H. Y.; Xu, Y. and Wu, H. (2026) Exploring the determinants of generative artificial intelligence use intention: A mixed methods study. Journal of Construction Engineering and Management, 152(7): 04026091, ISSN 0733-9364

Cheng, M; Liu, L; Cheng, X and Tao, L (2024) Risk analysis of public-private partnership waste-to-energy incineration projects in China: A hybrid fuzzy DEMATEL-ISM approach. Engineering, Construction and Architectural Management, 31(11), pp. 4255-4280. ISSN 0969-9988

Cheng, M Y and Ko, C H (2003) Object-oriented evolutionary fuzzy neural inference system for construction management. Journal of Construction Engineering and Management, 129(4), pp. 461-469. ISSN 0733-9364

Cheung, S O; Ng, S T; Lam, K C and Sin, W S (2001) A fuzzy sets model for construction dispute evaluation. Construction Innovation, 1(2), pp. 117-127. ISSN 1471-4175

Choi, H H; Cho, H N and Seo, J W (2004) Risk assessment methodology for underground construction projects. Journal of Construction Engineering and Management, 130(2), pp. 258-272. ISSN 0733-9364

Choi, H H and Mahadevan, S (2008) Construction project risk assessment using existing database and project-specific information. Journal of Construction Engineering and Management, 134(11), pp. 894-903. ISSN 0733-9364

Christodoulou, S E (1998) Optimum bid markup calculation in competitive bidding environments using fuzzy artificial neural networks. PhD thesis, Columbia University, USA.

Cosma, C (2003) Development of a systematic approach for uncertainty assessment in scheduling multiple repetitive construction processes by using fuzzy set theory. PhD thesis, University of Florida, USA.

Dang, P.; Zhang, T.; Niu, Z.; Gao, S.; Zhao, J. and Geng, L. (2026) Lean-digital transformation in prefabricated construction: A dynamic three-stage pathway configuration. Engineering, Construction and Architectural Management, 33(15), pp. 362-385. ISSN 0969-9988

Dang, P.; Zhang, T.; Niu, Z.; Gao, S.; Zhao, J. and Geng, L. (2026) Lean-digital transformation in prefabricated construction: A dynamic three-stage pathway configuration. Engineering, Construction and Architectural Management, 33(15), pp. 362-385. ISSN 0969-9988

Dou, Y.; Zhong, L.; Luo, L. and Lou, H. (2026) Investigating the causes and their interactions leading to supply chain risks in prefabricated construction: Configuration perspective. Journal of Construction Engineering and Management, 152(6): 04026069, ISSN 0733-9364

Elbarkouky, M M G and Fayek, A R (2011) Fuzzy similarity consensus model for early alignment of construction project teams on the extent of their roles and responsibilities. Journal of Construction Engineering and Management, 137(6), pp. 432-440. ISSN 0733-9364

Elbarkouky, M M G; Fayek, A R; Siraj, N B and Sadeghi, N (2016) Fuzzy arithmetic risk analysis approach to determine construction project contingency. Journal of Construction Engineering and Management, 142(12): 04016070, ISSN 0733-9364

Elbarkouky, M M G and Robinson Fayek, A (2011) Fuzzy preference relations consensus approach to reduce conflicts on shared responsibilities in the owner managing contractor delivery system. Journal of Construction Engineering and Management, 137(8), pp. 609-618. ISSN 0733-9364

Eldukair, Z A R (1988) Safety assessment and optimization of construction operations based on fuzzy sets. PhD thesis, University of Maryland, College Park, USA.

Eshtehardian, E; Afshar, A and Abbasnia, R (2008) Time-cost optimization: Using GA and fuzzy sets theory for uncertainties in cost. Construction Management and Economics, 26(7), pp. 679-691. ISSN 1466433X

Fayek, A R and Oduba, A (2005) Predicting industrial construction labor productivity using fuzzy expert systems. Journal of Construction Engineering and Management, 131(8), pp. 938-941. ISSN 0733-9364

Fayek, Aminah (1996) A competitive estimating and tendering strategy model for use in the civil engineering construction industry. PhD thesis, University of Melbourne, Australia.

Fujino, T (1994) The development of a method for investigating construction site accidents using fuzzy fault tree analysis. PhD thesis, Ohio State University, USA.

Georgy, M E; Chang, L M and Zhang, L (2005) Prediction of engineering performance: A neurofuzzy approach. Journal of Construction Engineering and Management, 131(5), pp. 548-557. ISSN 0733-9364

Ghoddousi, P; Nasirzadeh, F and Hashemi, H (2018) Evaluating highway construction projects' sustainability using a multicriteria group decision-making model based on bootstrap simulation. Journal of Construction Engineering and Management, 144(9): 04018092, ISSN 0733-9364

Gunduz, M and Elsherbeny, H A (2020) Critical assessment of construction contract administration using fuzzy structural equation modeling. Engineering, Construction and Architectural Management, 27(6), pp. 1233-1255. ISSN 0969-9988

Hadipriono, F C; Lim, C L and Wong, K H (1986) Event tree analysis to prevent failures in temporary structures. Journal of Construction Engineering and Management, 112(4), pp. 500-513. ISSN 0733-9364

Homayouni, H (2015) Aligning contractual, technological, and organizational elements to achieve higher performance buildings: A qualitative comparative analysis approach. PhD thesis, University of Washington, USA.

Islam, M M and Mohamed, S (2009) Bid-winning potential optimization for concession schemes with imprecise investment parameters. Journal of Construction Engineering and Management, 135(8), pp. 690-700. ISSN 0733-9364

Jin, R; Zuo, J and Hong, J (2019) Scientometric review of articles published in ASCE's journal of construction engineering and management from 2000 to 2018. Journal of Construction Engineering and Management, 145(8): 06019001, ISSN 0733-9364

Kale, S (2009) Fuzzy intellectual capital index for construction firms. Journal of Construction Engineering and Management, 135(6), pp. 508-517. ISSN 0733-9364

Kant Jain, K and Bhattacharjee, B (2012) Application of fuzzy concepts to the visual assessment of deteriorating reinforced concrete structures. Journal of Construction Engineering and Management, 138(3), pp. 399-408. ISSN 0733-9364

Karamoozian, A; Wu, D and Luo, C (2023) Green supplier selection in the construction industry using a novel fuzzy decision-making approach. Journal of Construction Engineering and Management, 149(6): 04023033, ISSN 0733-9364

Khalilzadeh, M; Balafshan, R and Hafezalkotob, A (2020) Multi-objective mathematical model based on fuzzy hybrid multi-criteria decision-making and FMEA approach for the risks of oil and gas projects. Journal of Engineering, Design and Technology, 18(6), pp. 1997-2016. ISSN 1726-0531

Kim, S; Ghimire, P; Jeong, H D and Barutha, P (2024) Comparative analysis of project risks across construction sectors. Journal of Construction Engineering and Management, 150(6): 04024038, ISSN 0733-9364

Knight, K and Fayek, A R (2002) Use of fuzzy logic for predicting design cost overruns on building projects. Journal of Construction Engineering and Management, 128(6), pp. 503-512. ISSN 0733-9364

Ko, C H and Cheng, M Y (2007) Dynamic prediction of project success using artificial intelligence. Journal of Construction Engineering and Management, 133(4), pp. 316-324. ISSN 0733-9364

Kulshrestha, M (1997) Total Value Control in Construction through Multiple Criteria Decision Making (MCDM). PhD thesis, Indian Institute of Technology Delhi, India.

Kumar, V S S (1993) Application of fuzzy set theory in construction management. PhD thesis, Indian Institute of Technology Delhi, India.

Kumar, V S S; Hanna, A S and Adams, T (2000) Assessment of working capital requirements by fuzzy set theory. Engineering, Construction and Architectural Management, 7(1), pp. 93-103. ISSN 0969-9988

Kwofie, T E; Amos-Abanyie, S; Fugar, F; Afram, S O; Aigbavboa, C O and Olympio, G F (2023) Nature of communication performance among multi-teams in mass housing project delivery: A fuzzy set theory approach. International Journal of Construction Management, 23(9), pp. 1506-1517. ISSN 1562-3599

Laishram, B S and Kalidindi, S N (2009) Desirability rating analysis for debt financing of public-private partnership road projects. Construction Management and Economics, 27(9), pp. 823-837. ISSN 1466433X

Lam, K C; Hu, T; Ng, S T; Skitmore, M and Cheoung, S O (2001) A fuzzy neural network approach for contractor prequalification. Construction Management and Economics, 19(2), pp. 175-188. ISSN 01446193

Lam, K C; So, A T P; Hu, T; Ng, T; Yuen, R K K; Lo, S M; Cheung, S O and Yang, H (2001) An integration of the fuzzy reasoning technique and the fuzzy optimization method in construction project management decision-making. Construction Management and Economics, 19(1), pp. 63-76. ISSN 01446193

Li, H (1997) Determinants of knowledge-based expert system success in construction engineering. Building Research & Information, 25(2), pp. 101-106. ISSN 0961-3218

Li, J; Moselhi, O and Alkass, S (2006) Forecasting project status by using fuzzy logic. Journal of Construction Engineering and Management, 132(11), pp. 1193-1202. ISSN 0733-9364

Li, R; Niu, Z; Liu, C and Wu, B (2024) The co-movement effect of managers' psychological factors on the BIM adoption decision in SMEs: A study based on fsqca. Engineering, Construction and Architectural Management, 31(4), pp. 1454-1472. ISSN 0969-9988

Li, Y; Nie, X and Chen, S (2007) Fuzzy approach to prequalifying construction contractors. Journal of Construction Engineering and Management, 133(1), pp. 40-49. ISSN 0733-9364

Liu, M and Ling, Y Y (2005) Modeling a contractor's markup estimation. Journal of Construction Engineering and Management, 131(4), pp. 391-399. ISSN 0733-9364

Lorterapong, P and Moselhi, O (1996) Project-network analysis using fuzzy sets theory. Journal of Construction Engineering and Management, 122(4), pp. 308-317. ISSN 0733-9364

Mahamadu, A M; Manu, P; Mahdjoubi, L; Booth, C; Aigbavboa, C and Abanda, F H (2020) The importance of BIM capability assessment: An evaluation of post-selection performance of organisations on construction projects. Engineering, Construction and Architectural Management, 27(1), pp. 24-48. ISSN 0969-9988

Mahmood, N A (2021) Real-time site safety risk assessment and intervention for on-foot building construction workers using RFID-based multi-sensor intelligent system. PhD thesis, Ohio State University, USA.

Mahmoud, H M (1998) Applying a fuzzy logic expert system in the selection of bridge deck joints. PhD thesis, University of Central Florida, USA.

Mak, S and Wong, L (1997) Estimating using risk analysis for construction. In: Stephenson, P (ed.) Proceedings of 13th Annual ARCOM Conference, 15-17 September 1997, Cambridge, UK.

Mak, S W (1995) Risk analysis in construction: A paradigm shift from a hard to soft approach. Construction Management and Economics, 13(5), pp. 385-392. ISSN 01446193

Mak, S W K (1992) Risk management in construction: A study of subjective judgments. PhD thesis, London, External, UK.

Maravas, A and Pantouvakis, J P (2011) Fuzzy repetitive scheduling method for projects with repeating activities. Journal of Construction Engineering and Management, 137(7), pp. 561-564. ISSN 0733-9364

Marsh, K and Fayek, A R (2010) SuretyAssist: Fuzzy expert system to assist surety underwriters in evaluating construction contractors for bonding. Journal of Construction Engineering and Management, 136(11), pp. 1219-1226. ISSN 0733-9364

Martin, H and Ramjarrie, K (2021) Cloud contractor selection model for design-build open tender. Journal of Construction Engineering and Management, 147(4): 04021020, ISSN 0733-9364

Marzouk, M and Moselhi, O (2004) Fuzzy clustering model for estimating haulers' travel time. Journal of Construction Engineering and Management, 130(6), pp. 878-886. ISSN 0733-9364

Mogge Jr., J W (2004) Breaking through the first cost barriers of sustainable planning, design, and construction. PhD thesis, Georgia Institute of Technology, USA.

Mohamad, M and Tran, D Q (2021) Risk-based prioritization approach to construction inspections for transportation projects. Journal of Construction Engineering and Management, 147(1): 04020150, ISSN 0733-9364

Mohamad Karimi, S; Jamshid Mousavi, S; Kaveh, A and Afshar, A (2007) Fuzzy optimization model for earthwork allocations with imprecise parameters. Journal of Construction Engineering and Management, 133(2), pp. 181-190. ISSN 0733-9364

Mohamed, M (2022) A risk-based model for construction inspection in highways. PhD thesis, University of Kansas, USA.

Mohamed, M and Tran, D Q (2021) Risk-based inspection model for hot mix asphalt pavement construction projects. Journal of Construction Engineering and Management, 147(6): 78622053, ISSN 0733-9364

Mohamed, M and Tran, D Q (2023) Examining critical factors and their combination effects on quality of roadway construction operations. International Journal of Construction Management, 23(15), pp. 2637-2648. ISSN 1562-3599

Mohandes, S R; Kaddoura, K; Singh, A K; Elsayed, M Y; Banihashemi, S; Antwi-Afari, M F; Olawumi, T O and Zayed, T (2025) Application of a hybrid fuzzy-based algorithm to investigate the environmental impact of sewer overflow. Smart and Sustainable Built Environment, 14(6), pp. 1950-1990. ISSN 2046-6099

Mohandes, S. R.; Singh, A. K.; Ibrahim, A.; Ma, N.; Kineber, A. F. and Shakor, P. (2026) Pioneering digital transformation: Unveiling the blockchain and digital twin technologies' synergy. Journal of Engineering, Design and Technology, 24(4), pp. 1076-1100. ISSN 1726-0531

Mohandes, S. R.; Zou, J.; Luo, Y.; Ejohwomu, O.; Kidd, C. and Arashpour, M. (2026) Examining the barriers to the adoption of the metaverse in construction projects: Lessons learned from the UK. Journal of Engineering, Design and Technology, 24(1), pp. 242-259. ISSN 1726-0531

Monzer, N; Fayek, A R; Lourenzutti, R and Siraj, N B (2019) Aggregation-based framework for construction risk assessment with heterogeneous groups of experts. Journal of Construction Engineering and Management, 145(3): 04019003, ISSN 0733-9364

Mostafavi, A and Karamouz, M (2010) Selecting appropriate project delivery system: Fuzzy approach with risk analysis. Journal of Construction Engineering and Management, 136(8), pp. 923-930. ISSN 0733-9364

Naderpajouh, N and Afshar, A (2008) A case-based reasoning approach to application of value engineering methodology in the construction industry. Construction Management and Economics, 26(4), pp. 363-372. ISSN 1466433X

Nguyen, P H D (2020) Development of fuzzy hybrid approaches to project delivery method selection in highway construction. PhD thesis, University of Kansas, USA.

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

Nguyen, V U (1985) Tender evaluation by fuzzy sets. Journal of Construction Engineering and Management, 111(3), pp. 231-243. ISSN 0733-9364

Nyakaana Blair, A M A (1999) Risk analysis of cost and schedule of complex engineering systems. PhD thesis, University of Maryland, College Park, USA.

Okoroh, M I (1992) Knowledge based decision support system for the selection and appointment of sub-contractors for building refurbishment contracts. PhD thesis, Loughborough University, UK.

Okoroh, M I and Torrance, V B (1999) A model for subcontractor selection in refurbishment projects. Construction Management and Economics, 17(3), pp. 315-327. ISSN 01446193

Okudan, O and Çevikbaş, M (2022) Alternative dispute resolution selection framework to settle disputes in public-private partnership projects. Journal of Construction Engineering and Management, 148(9): 04022086, ISSN 0733-9364

Oliveros, A V O and Fayek, A R (2005) Fuzzy logic approach for activity delay analysis and schedule updating. Journal of Construction Engineering and Management, 131(1), pp. 42-51. ISSN 0733-9364

Olopade, J O (2020) Qualitative comparative analysis of causal pathways to successful construction cross-functional teams. PhD thesis, University of Florida, USA.

Opdyke, A (2017) Resilient and sustainable infrastructure systems: A comparative analysis of post-disaster shelter coordination, stakeholder participation, and training. PhD thesis, University of Colorado at Boulder, USA.

Paek, J H; Lee, Y W and Ock, J H (1993) Pricing construction risk: Fuzzy set application. Journal of Construction Engineering and Management, 119(4), pp. 743-756. ISSN 0733-9364

Pan, N F (2006) Evaluation of building performance using fuzzy FTA. Construction Management and Economics, 24(12), pp. 1241-1252. ISSN 1466433X

Pan, N-F S (2001) Fuzzy reasoning expert scheduling system (FRESS) for highway construction subject to rain impact: A case study in Taiwan. PhD thesis, Ohio State University, USA.

Patel, D A (2015) Estimating the number of fatal accidents and investigating the determinants of safety performance in indian construction. PhD thesis, Indian Institute of Technology Delhi, India.

Pawan, P and Lorterapong, P (2016) A fuzzy-based integrated framework for assessing time contingency in construction projects. Journal of Construction Engineering and Management, 142(3): 04015083, ISSN 0733-9364

Poh, Y P (2005) Knowledge-based integrated project duration-cost risk simulation model. PhD thesis, London South Bank University, UK.

Poveda, C A and Fayek, A R (2009) Predicting and evaluating construction trades foremen performance: Fuzzy logic approach. Journal of Construction Engineering and Management, 135(9), pp. 920-929. ISSN 0733-9364

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

Sachs, T; Tiong, R and Wagner, D (2007) Political risk quantification using fuzzy set approach. Journal of Financial Management of Property and Construction, 12(2), pp. 107-126. ISSN 1366-4387

Sachs, T and Tiong, R L K (2009) Quantifying qualitative information on risks: Development of the QQIR method. Journal of Construction Engineering and Management, 135(1), pp. 56-71. ISSN 0733-9364

Sadeghi, J; Oghabi, M; Sarvari, H; Sabeti, M S; Kashefi, H; Chan, D W M and Lotfata, A (2023) A hybrid risk assessment approach for assessing the earthquake risks in worn-out urban fabrics: A case study in Iran. International Journal of Disaster Resilience in the Built Environment, 14(2), pp. 193-211. ISSN 1759-5916

Sadeghi, N; Fayek, A R and Seresht, N G (2016) A fuzzy discrete event simulation framework for construction applications: Improving the simulation time advancement. Journal of Construction Engineering and Management, 142(12): 04016071, ISSN 0733-9364

Salah, A and Moselhi, O (2015) Contingency modelling for construction projects using fuzzy-set theory. Engineering, Construction and Architectural Management, 22(2), pp. 214-241. ISSN 0969-9988

Selĺs, M E S; Rubio, J A C and Mullor, J R (2008) Development of a quantification proposal for hidden quality costs: Applied to the construction sector. Journal of Construction Engineering and Management, 134(10), pp. 749-757. ISSN 0733-9364

Seo, S; Aramaki, T; Hwang, Y and Hanaki, K (2004) Fuzzy decision-making tool for environmental sustainable buildings. Journal of Construction Engineering and Management, 130(3), pp. 415-423. ISSN 0733-9364

Shaheen, A A; Fayek, A R and Abourizk, S M (2007) Fuzzy numbers in cost range estimating. Journal of Construction Engineering and Management, 133(4), pp. 325-334. ISSN 0733-9364

Shaheen, A A-H I (2005) A framework for integrating fuzzy set theory and discrete event simulation in construction engineering. PhD thesis, University of Alberta, Canada.

Shin, H J (1994) Fuzzy approach to construction activity estimation. PhD thesis, Loughborough University, UK.

Shoar, S; Nasirzadeh, F and Zarandi, H R (2019) Quantitative assessment of risks on construction projects using fault tree analysis with hybrid uncertainties. Construction Innovation, 19(1), pp. 48-70. ISSN 1471-4175

Singer, H and Özşahin, Ş (2022) Prioritization of laminate flooring selection criteria from experts' perspectives: A spherical fuzzy AHP-based model. Architectural Engineering and Design Management, 18(6), pp. 911-926. ISSN 1745-2007

Singh, A. K.; Mohandes, S. R.; Awuzie, B. O.; Omotayo, T.; Kumar, V. R. P. and Kidd, C. (2026) A roadmap for overcoming barriers to implementation of blockchain-enabled smart contracts in sustainable construction projects. Smart and Sustainable Built Environment, 15(2), pp. 570-596. ISSN 2046-6099

Singh, D and Tiong, R L K (2005) A fuzzy decision framework for contractor selection. Journal of Construction Engineering and Management, 131(1), pp. 62-70. ISSN 0733-9364

Smith, G R (1986) A conceptual construction project planning model (fuzzy sets, networks). PhD thesis, Purdue University, USA.

Soltanmohammadlou, N.; Hon, C. K. H.; Drogemuller, R.; Motamedisedeh, O. and Rahimian, F. (2026) Modelling risk factors in earthmoving equipment operations on Australian construction sites: A fuzzy DEMATEL approach. Engineering, Construction and Architectural Management, 33(3), pp. 2118-2153. ISSN 0969-9988

Song, J; Song, D and Zhang, D (2015) Modeling the concession period and subsidy for BOT waste-to-energy incineration projects. Journal of Construction Engineering and Management, 141(10): 04015033, ISSN 0733-9364

Stoyell, J L (2004) Eco-design decision-making: towards sustainable engineering design of large made-to-order products. PhD thesis, University of Newcastle upon Tyne, UK.

Tabatabaee, S; Ashour, M; Mohandes, S R; Sadeghi, H; Mahdiyar, A; Hosseini, M R and Ismail, S (2022) Deterrents to the adoption of green walls: A hybrid fuzzy-based approach. Engineering, Construction and Architectural Management, 29(9), pp. 3460-3479. ISSN 0969-9988

Tabatabaee, S; Ashour, M; Sadeghi, H; Hoseini, S A; Mohandes, S R; Mahdiyar, A; Ismail, S and Hosseini, M R (2024) Towards the adoption of most suitable green walls within sustainable buildings using interval type-2 fuzzy best-worst method and TOPSIS technique. Engineering, Construction and Architectural Management, 31(3), pp. 1145-1164. ISSN 0969-9988

Tam, C M; Tong, T K L; Leung, A W T and Chiu, G W C (2002) Site layout planning using nonstructural fuzzy decision support system. Journal of Construction Engineering and Management, 128(3), pp. 220-231. ISSN 0733-9364

Tamimi, S T (1989) An influence diagramming based risk analysis system. PhD thesis, University of Colorado at Boulder, USA.

Tang, C M; Leung, A Y T and Lam, K C (2006) Entropy application to improve construction finance decisions. Journal of Construction Engineering and Management, 132(10), pp. 1099-1113. ISSN 0733-9364

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Tavakolan, M (2011) Development of construction projects scheduling with evolutionary algorithms. PhD thesis, Columbia University, USA.

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