A semi-automatic image-based object recognition system for constructing as-is IFC BIM objects based on fuzzy-MAUT

References

• Azar ER. 2016. Construction equipment identification using marker-based recognition and an active zoom camera. J Comput Civ Eng. 30(3):04015033.
   Web of Science ®Google Scholar
• Becerik-Gerber B, Jazizadeh F, Li N, Calis G. 2012. Application areas and data requirements for BIM-enabled facilities management. J Constr Eng Manage. 138(3):431–442.
   Web of Science ®Google Scholar
• Bosché F, Ahmed M, Turkan Y, Haas CT, Haas R. 2015. The value of integrating scan-to-BIM and scan-versus-BIM techniques for construction monitoring using laser scanning and BIM: the case of cylindrical MEP components. Aut Constr. 49:201–213. https://doi.org/https://doi.org/10.1016/j.autcon.2014.05.014.
   Web of Science ®Google Scholar
• Brilakis IK, Soibelman L, Shinagawa Y. 2006. Construction site image retrieval based on material cluster recognition. Adv Eng Inf. 20(4):443–452. https://doi.org/https://doi.org/10.1016/j.aei.2006.03.001.
   Web of Science ®Google Scholar
• Cavka HB, Staub-French S, Pottinger R. 2015. Evaluation of organisational context and requirements for leveraging building information models to support handover and operations & maintenance.
   Google Scholar
• Caputo B, Hayman E, Fritz M, Eklundh JO. 2010. Classifying materials in the real world. Image Vis Comput. 28(1):150–163.
   Web of Science ®Google Scholar
• Chen B, Chen L, Chen Y. 2013. Efficient ant colony optimization for image feature selection. Signal Process. 93(6):1566–1576.
   Web of Science ®Google Scholar
• Chen G, Pham TT. 2000. Introduction to fuzzy sets, fuzzy logic, and fuzzy control systems. CRC Press.
   Google Scholar
• Crispin AJ, Rankov V. 2007. Automated inspection of PCB components using a genetic algorithm template-matching approach. Int J Adv Manuf Technol. 35(3–4):293–300.
   Web of Science ®Google Scholar
• Daily News 2016. Collapse accidents in the City University of Hong Kong. [accessed 2016 May 22]. http://news.mingpao.com/pns/dailynews/web_tc/article/20160521/s00001/1463767114593.
   Google Scholar
• Dimitrov A, Golparvar-Fard M. 2014. Vision-based material recognition for automated monitoring of construction progress and generating building information modeling from unordered site image collections. Adv Eng Inf. 28(1):37–49. https://doi.org/https://doi.org/10.1016/j.aei.2013.11.002.
   Web of Science ®Google Scholar
• Dorigo M, Socha K. 2006. An introduction to ant colony optimization. Handbook of approximation algorithms and metaheuristics. CRC Press; p. 26–1.
   Google Scholar
• Duda RO, Hart PE. 1972. Use of the Hough transformation to detect lines and curves in pictures. Commun Acm. 15(1):11–15.
   Web of Science ®Google Scholar
• Eastman C, Teicholz P, Sacks R, Liston K. 2008. BIM handbook: a guide to building information modeling for owners, managers, designers, engineers and contractors. John Wiley & Sons.
   Google Scholar
• Erol I, Sencer S, Sari R. 2011. A new fuzzy multi-criteria framework for measuring sustainability performance of a supply chain. Ecol Econ. 70(6):1088–1100.
   Web of Science ®Google Scholar
• Fathi H, Dai F, Lourakis M. 2015. Automated as-built 3D reconstruction of civil infrastructure using computer vision: achievements, opportunities, and challenges. Adv Eng Inf. 29(2):149–161. https://doi.org/https://doi.org/10.1016/j.aei.2015.01.012.
   Web of Science ®Google Scholar
• Forns-Samso F. 2011. Perceived value of building information modeling in facilities operations and maintenance [Doctoral dissertation].
   Google Scholar
• Golparvar-Fard M, Peña-Mora F, Savarese S. 2011. Integrated sequential as-built and as-planned representation with D4AR tools in support of decision-making tasks in the AEC/FM industry. J Constr Eng Manage. 137(12):1099–1116. https://doi.org/https://doi.org/10.1061/(ASCE)CO.1943-7862.0000371.
   Web of Science ®Google Scholar
• IfcBeamStandardCase: IFC Schema. 2011 [accessed 2018 June 22]. http://www.buildingsmart-tech.org/ifc/IFC2x4/alpha/html/ifcsharedbldgelements/lexical/ifcbeamstandardcase.htm
   Google Scholar
• Jiang W. 2011. The application of the fuzzy theory in the design of intelligent building control of water tank. J Softw. 6(6):1082–1088.
   Google Scholar
• Kabir G. 2012. Multiple criteria inventory classification under fuzzy environment. Int J Fuzzy Syst Appl. 2(4):76–92.
   Google Scholar
• Karami A. 2011. Utilization and comparison of multi attribute decision making techniques to rank Bayesian network options [Master thesis], Skövde, Sweden: University of Skövde.
   Google Scholar
• Khalili A, Chua DH. 2015. IFC-based graph data model for topological queries on building elements. J Comput Civ Eng. 29(3):04014046.
   Web of Science ®Google Scholar
• Kim J-Y, Kim M, Lee S, Oh J, Oh S, Yoo H-J. 2009. Real-time object recognition with neuro-fuzzy controlled workload-aware task pipelining. IEEE Micro. 29(6):28–43.
   Web of Science ®Google Scholar
• Lee S, Akin Ö. 2009. Shadowing tradespeople: Inefficiency in maintenance fieldwork. Aut Constr. 18(5):536–546.
   Web of Science ®Google Scholar
• Liebich T. 2009. IFC 2x Edition 3 model implementation guide version 2.0. Dresden: Building SMART International Modeling Support Group.
   Google Scholar
• Lu Q, Lee SH. 2016. Development of a semi-automatic image-based object recognition system for reconstructing as-is BIM objects based on fuzzy multi-attribute utility theory. CIB W78 2016 Conference, Brisbane, Australia.
   Google Scholar
• Lu Q, Chen L, Lee S, Zhao X. 2017. Activity theory-based analysis of BIM implementation in building O&M and first response. Aut Constr. 85:317–332. https://doi.org/https://doi.org/10.1016/j.autcon.2017.10.017.
   Web of Science ®Google Scholar
• Lu Q, Lee S. 2017. Image-based technologies for constructing as-is building information models for existing buildings. J Comput Civ Eng. 31(4):04017005.
   Web of Science ®Google Scholar
• Lu Q, Lee S, Chen L. 2018. Image-driven fuzzy-based system to construct as-is IFC BIM objects. Aut Constr. 92:68–87. https://doi.org/https://doi.org/10.1016/j.autcon.2018.03.034
   Web of Science ®Google Scholar
• Mayo G, Issa RR. 2016. Nongeometric building information needs assessment for facilities management. J Manage Eng. 32(3):04015054.
   Web of Science ®Google Scholar
• National Research Council 1998. Stewardship of federal facilities: a proactive strategy for managing the nation's public assets. Washington, D.C.: The National Academies Press.
   Google Scholar
• Norman T. 2005. Clip detection using machine vision. Canada: Queen’s University. Technical Report No.: # QCL-05-02.
   Google Scholar
• Pachauri B, Kumar A, Dhar J. 2014. Software reliability growth modeling with dynamic faults and release time optimization using GA and MAUT. Appl Math Comput. 242:500–509.
   Web of Science ®Google Scholar
• People.cn: Collapse accidents in the Ma Tau Wai road. 2010 [accessed 2016 May 22]. http://hm.people.com.cn/GB/42280/180985/.
   Google Scholar
• Punch WF, Goodman ED, Pei LC, Hovland Enbody PR. 1993. Further research on feature selection and classification using genetic algorithms. In: Proceedings International Conference on Genetic Algorithms; pp. 557–564.
   Google Scholar
• Sadiq R, Tesfamariam S. 2009. Multi-criteria decision making (MCDM) using intuitionistic fuzzy analytic hierarchy process (IF-AHP). Stoch Environ Res Risk Assess. 23(1):75–91.
   Web of Science ®Google Scholar
• Smith DK, Tardif M. 2009. Building information modeling: a strategic implementation guide for architects, engineers, constructors, and real estate asset managers. John Wiley & Sons.
   Google Scholar
• Schmitt C, Dengler D, Bauer M. 2002. The maut-machine: an adaptive recommender system. In: Proceedings of ABIS Workshop, Hannover, Germany.
   Google Scholar
• Shackelford AK, Davis CH. 2003. A combined fuzzy pixel-based and object-based approach for classification of high-resolution multispectral data over urban areas. IEEE Trans Geosci Remote Sensing. 41(10):2354–2363.
   Web of Science ®Google Scholar
• Sumer E, Turker M. 2013. An adaptive fuzzy-genetic algorithm approach for building detection using high-resolution satellite images. Comput Environ Urb Syst. 39:48–62.
   Web of Science ®Google Scholar
• Szeliski R. 2010. Computer vision: algorithms and applications. Springer Science & Business Media.
   Google Scholar
• Tam CM, Thomas KL, Zhang H. 2007. Decision making and operations research techniques for construction management. City University of HK Press.
   Google Scholar
• Teicholz E. 2004. Bridging the AEC technology gap. IFMA Fac Manage J.
   Google Scholar
• Tian J, Yu W, Xie S. 2008. An ant colony optimization algorithm for image edge detection. In: Evolutionary Computation, IEEE World Congress on Computational Intelligence; p. 751–756..
   Google Scholar
• Wang M, Lin SJ, Lo YC. 2010. The comparison between MAUT and PROMETHEE. In: Industrial Engineering and Engineering Management (IEEM), 2010 IEEE International Conference, IEEE; p. 753–757.
   Google Scholar