A model of BIM application capability evaluation for Chinese construction enterprises based on interval grey clustering analysis

References

• Chen, X. F., Q. Li, L. Y. Chen, et al. 2019. Analysis Report on BIM Application in Chinese Construction Enterprises. China: Beijing.
   Google Scholar
• CIC. 2012. BIM Planning Guide for Facility Owners Pennsylvania State University. PA: University Park. http://bim.psu.edu
   Google Scholar
• Dang, Y. G., Y. Feng, S. Ding and L. Wei. 2017. “Grey Clustering Model for Interval Grey Numbers Based on Kernel and Degree of Greyness.” Control and Decision 32 (10): 1844–1848.
   Google Scholar
• Ding, L., Y. Zhou, and B. Akinci. 2014. “Building Information Modeling (BIM) Application Framework: The Process of Expanding from 3D to Computable nD.” Automation in Construction 46: 82–93. doi:https://doi.org/10.1016/j.autcon.2014.04.009.
   Web of Science ®Google Scholar
• Dos Santos, B. M., L. P. Godoy, and L. M. Campos. 2019. “Performance Evaluation of Green Suppliers Using entropy-TOPSIS-F.” Journal of Cleaner Production 207: 498–509. doi:https://doi.org/10.1016/j.jclepro.2018.09.235.
   Web of Science ®Google Scholar
• Fu, X. Q., and Z. H. Zou. 2018. “Water Quality Evaluation of the Yellow River Basin Based on Gray Clustering Method.” In IOP Conference Series-Earth and Environmental Science, Beijing: PEOPLES R CHINA.
   Google Scholar
• GhaffarianHoseini, A., T. Zhang, O. Nwadigo, A. GhaffarianHoseini, N. Naismith, J. Tookey, K. Raahemifar. 2017. “Application of nD BIM Integrated Knowledge-based Building Management System (BIM-IKBMS) for Inspecting Post-construction Energy Efficiency”. Renewable and Sustainable Energy Reviews 72: 935–949. doi:https://doi.org/10.1016/j.rser.2016.12.061.
   Web of Science ®Google Scholar
• Giel, B. 2014. “MINIMUM BIM, 2nd Edition Proposed Revision NBIMS V3.” http://www.instantdownloaderpro.com
   Google Scholar
• Giel, B., and R. R. Issa. 2013. “Synthesis of Existing BIM Maturity Toolsets to Evaluate Building Owners.” Computing in Civil Engineering 451–458. doi:https://doi.org/10.1061/9780784413029.057.
   Google Scholar
• Gunduz, M., M. T. Birgonul, and M. Ozdemir. 2017. “Fuzzy Structural Equation Model to Assess Construction Site Safety Performance.” Journal of Construction Engineering and Management 143 (4): 04016112. doi:https://doi.org/10.1061/(ASCE)CO.1943-7862.0001259.
   Web of Science ®Google Scholar
• Guo, S. D., Y. Li, F. Y. Dong, B. J. Li and Y. J. Yang. 2019. “Multi-attribute Grey Target Decision-making Based on ‘Kernel’ and Double Degree of Greyness.” Journal of Grey System 31 (2): 27–36.
   Web of Science ®Google Scholar
• IU Arhictect’s Office. 2009. “BIM Proficiency Matrix.” http://www.iu.edu/~vpcpf/consultant-contractor/standards/bim-standards.shtml
   Google Scholar
• Jia, T. B., C. M. Mi, and T. Zhang. 2013. “Organization Power Configuration Model Based on Grey Clustering.” Journal of Grey System 25 (2): 69–80.
   Web of Science ®Google Scholar
• Jian, L. R., H. H. Zhao, Y. Liu and J. J. Zhu. 2014. “Civil Aircraft Suppliers Selection Based on Grey Target and Grey Cluster Decision Method.” In IEEE International Conference on Systems Man and Cybernetics Conference Proceedings, San Diego, CA, 1691–1696).
   Google Scholar
• Kam, C., D. Senaratna, Y. Xiao and B. McKinney. 2013. “The VDC Scorecard: Evaluation of AEC Projects and Industry Trends.” In CIFE 136 (31). Maharashtra, India.
   Google Scholar
• King, W. R., and T. S. H. Teo. 1997. “Integration between Business Planning and Information Systems Planning: Validating a Stage Hypothesis.” Decision Sciences 28 (2): 279–308. doi:https://doi.org/10.1111/j.1540-5915.1997.tb01312.x.
   Web of Science ®Google Scholar
• Li, J., and W. Yu. 2013. “An Improved Grey Incidence Analysis Method Based on Topsis Thinking and Its Application on the Project Evaluation.” Mathematics in Practice and Theory 43 (8): 76–81.
   Google Scholar
• Li, S. Z., Z. D. Zhang, and R. S. He. 2012. “Application of Grey Clustering Evaluations in Coal Railway Transportation.” Kybernetes 41 (5/6): 714–725. doi:https://doi.org/10.1108/03684921211243365.
   Web of Science ®Google Scholar
• Li, Y. 2019. “Evaluation of Urban Leisure Industry Development Based on Principal Component Analysis.” Statistics and Decision 35 (1): 62–66.
   Google Scholar
• Li, Y. L., X. L. Yin, and J. Yang. 2017. “Multi-attribute Group Decision Making Model Based on Kernel and Degree of Greyness of Interval Grey Numbers.” Fire Control & Command Control 42 (3): 17–20.
   Google Scholar
• Liang, C., W. Lu, S. Rowlinson, X. Zhang. 2016. “Development of a Multifunctional BIM Maturity Model.” Journal of Construction Engineering and Management 142 (11): 06016003. doi:https://doi.org/10.1061/(ASCE)CO.1943-7862.0001186.
   Web of Science ®Google Scholar
• Lin, Y. C., H. Y. Lee, and I. T. Yang. 2016. “Developing As-built BIM Model Process Management System for General Contractors: A Case Study.” Journal of Civil Engineering and Management 22 (5): 608–621. doi:https://doi.org/10.3846/13923730.2014.914081.
   Web of Science ®Google Scholar
• Lin, Y. C., and H. H. Yang. 2018. “A Framework for Collaboration Management of BIM Model Creation in Architectural Projects.” Journal of Asian Architecture and Building Engineering 17 (1): 39–46. doi:https://doi.org/10.3130/jaabe.17.39.
   Web of Science ®Google Scholar
• Liu, S. F., Z. G. Fang, and J. Forrest 2010. “On Algorithm Rules of Interval Grey Numbers Based on the ‘Kernel’ and the Degree of Greyness of Grey Numbers.” In IEEE International Conference on Systems Man and Cybernetics Conference Proceedings, Istanbul, Turkey, 756–760.
   Google Scholar
• Liu, Z. D., Q. Q. Zhan, and G. L. Tian. 2019. “Research Review on Comprehensive Evaluation of Factor Analysis.” Statistics and Decision 35 (19): 68–73.
   Google Scholar
• Ma, F., J. He, J. P. Ma and S. G. Xia. 2017. “Evaluation of Urban Green Transportation Planning Based on Central Point Triangle Whiten Weight Function and entropy-AHP.” Transportation Research Procedia 25: 3638–3648. doi:https://doi.org/10.1016/j.trpro.2017.05.328.
   Google Scholar
• Ma, Q. T., G. F. Shang, and X. Y. Jiao. 2018. “Evaluation of Smart City Construction Level Based on BP Neural Network.” Mathematics in Practice and Theory 48 (14): 64–72.
   Google Scholar
• National Institute of Building Sciences (NIBS). 2007. United States National Building Information Modeling Standard, Version 1, Part 1: Overview, Principles, and Methodologies.
   Google Scholar
• Pei, L. L., and Z. X. Wang. 2013. “An Optimized Grey Cluster Model for Evaluating Quality of Labor Force.” Journal of Software 8 (10): 2489–2498. doi:https://doi.org/10.4304/jsw.8.10.2489-2494.
   Google Scholar
• Qian, L. L., S. F. Liu, and N. M. Xie. 2016. “Grey Clustering Model Based on Entropy-weight and Grey Numbers.” Systems Engineering and Electronics 38 (2): 352–356.
   Google Scholar
• Shanghai Housing and Urban-Rural Construction Management Committee. 2017. Shanghai Building Information Modeling Application Guide. China: Shanghai.
   Google Scholar
• Shen, M. X., J. Xu, and S. Wang. 2008. “Grey Cluster Decision Making Way for the Threat Ordering of Aerial Targets.” Systems Engineering and Electronics 30 (9): 1721–1723.
   Google Scholar
• Succar, B. 2010. “Building Information Modelling Maturity Matrix, Handbook of Research on Building Information Modeling and Construction Informatics: Concepts and Technologies.” IGI Global 65–103. doi:https://doi.org/10.4018/978-1-60566-928-1.ch400.
   Google Scholar
• Suchith Reddy, A., P. Rathish Kumar, and P. Anand Raj. 2019. “Entropy- Based Fuzzy TOPSIS Framework for Selection of a Sustainable Building Material.” International Journal of Construction Management. doi:https://doi.org/10.1080/15623599.2019.1683695.
   Google Scholar
• Sun, H., Y. Z. Liang, and Y. N. Wang. 2019. “Grey Clustering Evaluation for the Cooperation Efficiency of PPP Project: Taking Beijing Metro Line 4 as an Example.” Mathematical Problems in Engineering 2019: 1–13. doi:https://doi.org/10.1155/2019/8232731.
   Google Scholar
• Van Berlo, L., and H. Hendriks. 2012. “BIM QuickScan: Benchmark of BIM Performance in the Netherlands.” In Proceedings of the 29th International Conference CIB W78, Beirut, 17–19.
   Google Scholar
• Volk, R., J. Stengel, and F. Schultmann. 2014. “Building Information Modeling (BIM) for Existing Buildings-Literature Review and Future Needs.” Automation in Construction 38: 109–127. doi:https://doi.org/10.1016/j.autcon.2013.10.023.
   Web of Science ®Google Scholar
• Wang, J. J, Y. G. Dang, X. M. Li and J. Cui. 2015. “Grey Clusters Method with Fixed Weights Based on the Interval Grey Number.” Chinese Journal of Management Science 23 (10): 139–146.
   Google Scholar
• Wang, J. K., H. S. Ning, and W. S. Chen. 2012. “Airport Bird-strike Risk Assessment Model with Grey Clustering Evaluation Method.” Chinese Journal of Electronics 21 (3): 409–413.
   Web of Science ®Google Scholar
• Wang, M. H., G. B. Wang, L. Peng, C. Xu and J. L. Song. 2017. “BIM Capability Assessment for Architecture Company and Empirical Research.” Journal of Engineering Management 31 (5): 153–158.
   Google Scholar
• Wang, T. W., and X. D. Li. 2018. “Research on BIM Application Capability Evaluation Index System of Construction Enterprise.” Science and Technology Management Research 38 (6): 48–53.
   Google Scholar
• Wong, H., and B. Q. Hu. 2013. “Application of Interval Clustering Approach to Water Quality Evaluation.” Journal of Hydrology 491: 1–12. doi:https://doi.org/10.1016/j.jhydrol.2013.03.009.
   Web of Science ®Google Scholar
• Wu, C., B. Xu, C. Mao, and X. Li. 2017. “Overview of BIM Maturity Measurement Tools.” Journal of Information Technology in Construction 22: 34–62. http://www.itcon.org/2017/3
   Web of Science ®Google Scholar
• Wu, X. L., and F. Hu. 2020. “Analysis of Ecological Carrying Capacity Using a Fuzzy Comprehensive Evaluation Method.” Ecological Indicators 113: 106243. doi:https://doi.org/10.1016/j.ecolind.2020.106243.
   Web of Science ®Google Scholar
• Xie, N. M., S. F. Liu, and H. B. Zhan. 2013. “On the Selection of International Cooperation Key-technology Projects Based on Grey Cluster Model.” In Proceedings of the IEEE International Conference on grey Systems and Intelligent services, Macau, Peoples R China, 366–370.
   Google Scholar
• Yilmaz, G., A. Akcamete, and O. Demirors. 2019. “A Reference Model for BIM Capability Assessments.” Automation in Construction 101: 245–263. doi:https://doi.org/10.1016/j.autcon.2018.10.022.
   Web of Science ®Google Scholar
• Yilmaz, G., A. Akcamete-Gungo, and O. Demirors. 2017. “A Review on Capability and Maturity Models of Building Information Modelling.” In Lean and Computing in Construction Congress (LC3): Volume I-Proceedings of the Joint Conference on Computing in Construction (JC3), Heraklion, Greece, 627–636.
   Google Scholar
• Yu, X. M. 2017. “Research on BIM Application Ability Evaluation System for Construction Enterprises.” Construction Technology 46 (12): 113–118.
   Google Scholar
• Yuan, C. Q., and S. F. Liu. 2012. “Core of Grey Cluster and Its Application in Evaluation of Scientific and Technological Strength.” Journal of Grey System 24 (4): 327–336.
   Web of Science ®Google Scholar
• Zhou, W. J, Y. G. Dang, P. P. Xiong and H. S. Liu. 2013. “Grey Clustering Model for Interval Grey Number with Variable and Fixed Weight.” Systems Engineering-Theory & Practic 33 (10): 2590–2595.
   Google Scholar