Optimized decision support for BIM maturity assessment

[1]  Rosa M. Rodríguez,et al.  Expertise-Structure and Risk-Appetite-Integrated Two-Tiered Collective Opinion Generation Framework for Large-Scale Group Decision Making , 2022, IEEE Transactions on Fuzzy Systems.

[2]  Daniel W. M. Chan,et al.  Knowledge-based decision support for BIM adoption by small and medium-sized enterprises in developing economies , 2022, Automation in Construction.

[3]  Rosa M. Rodríguez,et al.  Large-Scale Group Decision Making: A Systematic Review and a Critical Analysis , 2022, IEEE/CAA Journal of Automatica Sinica.

[4]  Li Xuan.  Big data-driven fuzzy large-scale group decision making (LSGDM) in circular economy environment , 2022, Technological Forecasting and Social Change.

[5]  Yuanjun Guo,et al.  Natural language processing for smart construction: Current status and future directions , 2022, Automation in Construction.

[6]  Xiao Li,et al.  Linking permissioned blockchain to Internet of Things (IoT)-BIM platform for off-site production management in modular construction , 2022, Comput. Ind..

[7]  Yingying Liang,et al.  Minimum cost consensus model for CRP-driven preference optimization analysis in large-scale group decision making using Louvain algorithm , 2021, Inf. Fusion.

[8]  C. Anumba,et al.  An Actor–Network Approach to Developing a Life Cycle BIM Maturity Model (LCBMM) , 2021, Sustainability.

[9]  Huchang Liao,et al.  How to process local and global consensus? A large-scale group decision making model based on social network analysis with probabilistic linguistic information , 2021, Inf. Sci..

[10]  Linling Zhang,et al.  Public transportation development decision-making under public participation: A large-scale group decision-making method based on fuzzy preference relations , 2021 .

[11]  Witold Pedrycz,et al.  K-means clustering for the aggregation of HFLTS possibility distributions: N-two-stage algorithmic paradigm , 2021, Knowl. Based Syst..

[12]  Hanting Xu,et al.  Building Information Modeling Application Maturity Model (BIM-AMM) from the Viewpoint of Construction Project , 2021, Advances in Civil Engineering.

[13]  Wenjun Zhang,et al.  A Biobjective Optimization Model for Expert Opinions Aggregation and Its Application in Group Decision Making , 2021, IEEE Systems Journal.

[14]  P. Manu,et al.  An investigation into macro BIM maturity and its impacts: a comparison of Qatar and the United Kingdom , 2021, Architectural Engineering and Design Management.

[15]  Ligang Zhou,et al.  Consensus-Based Linguistic Distribution Large-Scale Group Decision Making Using Statistical Inference and Regret Theory , 2021, Group Decision and Negotiation.

[16]  Witold Pedrycz,et al.  Expertise-based bid evaluation for construction-contractor selection with generalized comparative linguistic ELECTRE III , 2021 .

[17]  Luís Bragança,et al.  Sustainable building design: Analysing the feasibility of BIM platforms to support practical building sustainability assessment , 2021, Comput. Ind..

[18]  Miroslaw J. Skibniewski,et al.  Online-review analysis based large-scale group decision-making for determining passenger demands and evaluating passenger satisfaction: Case study of high-speed rail system in China , 2021, Inf. Fusion.

[19]  Zeshui Xu,et al.  A hesitant fuzzy linguistic bi-objective clustering method for large-scale group decision-making , 2021, Expert Syst. Appl..

[20]  Grant R. Mills,et al.  Combining multi-criteria decision making (MCDM) methods with building information modelling (BIM): A review , 2021, Automation in Construction.

[21]  Zhenxian Huang,et al.  Application Research on BIM+AR Technology in Construction Safety Management , 2020, Journal of Physics: Conference Series.

[22]  Xuan Zhang,et al.  Bid Evaluation for Major Construction Projects Under Large-Scale Group Decision-Making Environment and Characterized Expertise Levels , 2020, Int. J. Comput. Intell. Syst..

[23]  Chengshuang Sun,et al.  Understanding the risk factors of BIM technology implementation in the construction industry: an interpretive structural modeling (ISM) approach , 2020 .

[24]  C. Aigbavboa,et al.  Macro-maturity factors and their influence on micro-level BIM implementation within design firms in Italy , 2020 .

[25]  P. Sivakumar,et al.  Evaluvation and selection of suppliers using TOPSIS , 2020 .

[26]  Cuiping Wei,et al.  A two-stage dynamic influence model-achieving decision-making consensus within large scale groups operating with incomplete information , 2020, Knowl. Based Syst..

[27]  Kumaraswamy Ponnambalam,et al.  A clustering method for large-scale group decision-making with multi-stage hesitant fuzzy linguistic terms , 2019, Inf. Fusion.

[28]  S. Babatunde,et al.  Analysis of BIM maturity level among AEC firms in developing countries : a case of Nigeria , 2019 .

[29]  Yongming Song,et al.  A large-scale group decision-making with incomplete multi-granular probabilistic linguistic term sets and its application in sustainable supplier selection , 2019, J. Oper. Res. Soc..

[30]  Onur Demirörs,et al.  A reference model for BIM capability assessments , 2019, Automation in Construction.

[31]  Yijun Zhou,et al.  Barriers to BIM implementation strategies in China , 2019, Engineering, Construction and Architectural Management.

[32]  Francisco Herrera,et al.  A Consensus Model for Large-Scale Linguistic Group Decision Making With a Feedback Recommendation Based on Clustered Personalized Individual Semantics and Opposing Consensus Groups , 2019, IEEE Transactions on Fuzzy Systems.

[33]  Ahmet Anil Sezer,et al.  Professional development of the BIM actor role , 2019, Automation in Construction.

[34]  R. Zieliński,et al.  BIM maturity levels in teaching the design process , 2019 .

[35]  S. Fai,et al.  Level of detail, information and accuracy in building information modelling of existing and heritage buildings , 2018, Journal of Cultural Heritage Management and Sustainable Development.

[36]  Weisheng Lu,et al.  Measuring building information modeling maturity: a Hong Kong case study , 2018, International Journal of Construction Management.

[37]  Johannes T. Voordijk,et al.  Developing and Testing a Tool to Evaluate BIM Maturity: Sectoral Analysis in the Dutch Construction Industry , 2018, Journal of Construction Engineering and Management.

[38]  Zhang Yu,et al.  Based on the development status of British BIM, exploring China’s BIM road , 2018 .

[39]  Zhibin Wu,et al.  A consensus model for large-scale group decision making with hesitant fuzzy information and changeable clusters , 2018, Inf. Fusion.

[40]  Enrique Herrera-Viedma,et al.  Consensus Building for the Heterogeneous Large-Scale GDM With the Individual Concerns and Satisfactions , 2018, IEEE Transactions on Fuzzy Systems.

[41]  Qian Huang,et al.  Non-USA Professionals’ Perception of Key BIM Maturity Indicators , 2018 .

[42]  Yejun Xu,et al.  A two-stage consensus method for large-scale multi-attribute group decision making with an application to earthquake shelter selection , 2018, Comput. Ind. Eng..

[43]  Ghang Lee,et al.  An analysis of BIM jobs and competencies based on the use of terms in the industry , 2017 .

[44]  Yaowu Wang,et al.  Research on the BIM Capability Maturity Model in China , 2017 .

[45]  Onur Demirörs,et al.  A Review on Capability and Maturity Models of Building Information Modelling , 2017 .

[46]  Su-Ling Fan,et al.  Preliminary Contractual Framework for BIM-Enabled Projects , 2017 .

[47]  Changjun Liu,et al.  On a Simple and Efficient Approach to Probability Distribution Function Aggregation , 2017, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[48]  Zhen Zhang,et al.  Managing Multigranular Linguistic Distribution Assessments in Large-Scale Multiattribute Group Decision Making , 2017, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[49]  Chengke Wu,et al.  Overview of BIM maturity measurement tools , 2017, J. Inf. Technol. Constr..

[50]  Paul Shepherd,et al.  Using the Arup BIM maturity measure to demonstrate bim implementation in practice , 2016 .

[51]  Xiaoling Zhang,et al.  Development of a Multifunctional BIM Maturity Model , 2016 .

[52]  M. Skibniewski,et al.  A literature review of the factors limiting the application of BIM in the construction industry , 2015 .

[53]  Xiaohong Chen,et al.  Consensus model for multi-criteria large-group emergency decision making considering non-cooperative behaviors and minority opinions , 2015, Decis. Support Syst..

[54]  J. Rezaei.  Best-worst multi-criteria decision-making method , 2015 .

[55]  Min Zhang,et al.  Improved Research to K-means Initial Cluster Centers , 2015, 2015 Ninth International Conference on Frontier of Computer Science and Technology.

[56]  Burcu Akinci,et al.  Building Information Modeling (BIM) application framework: The process of expanding from 3D to computable nD , 2014 .

[57]  Hanbin Luo,et al.  A BIM-based construction quality management model and its applications , 2014 .

[58]  Hazar Dib,et al.  A measurement model of building information modelling maturity , 2014 .

[59]  Yinghua Shen,et al.  A partial binary tree DEA-DA cyclic classification model for decision makers in complex multi-attribute large-group interval-valued intuitionistic fuzzy decision-making problems , 2014, Inf. Fusion.

[60]  Francisco Herrera,et al.  A Consensus Model to Detect and Manage Noncooperative Behaviors in Large-Scale Group Decision Making , 2014, IEEE Transactions on Fuzzy Systems.

[61]  Shoude Li,et al.  Users-orientated evaluation of building information model in the Chinese construction industry , 2014 .

[62]  Javier Garzás,et al.  A maturity model for the Spanish software industry based on ISO standards , 2013, Comput. Stand. Interfaces.

[63]  Ismail Mohamad,et al.  Standardization and Its Effects on K-Means Clustering Algorithm , 2013 .

[64]  Trupti M. Kodinariya,et al.  Review on determining number of Cluster in K-Means Clustering , 2013 .

[65]  Tamera L. McCuen,et al.  Evaluating Award-Winning BIM Projects Using the National Building Information Model Standard Capability Maturity Model , 2012 .

[66]  Wenjun Chris Zhang,et al.  A novel approach to probability distribution aggregation , 2012, Inf. Sci..

[67]  Willy Sher,et al.  Measuring BIM performance: Five metrics , 2012 .

[68]  Hazar Dib,et al.  A Framework for Measuring Building Information Modeling Maturity based on Perception of Practitioners and Academics Outside the USA , 2012 .

[69]  Rizal Sebastian,et al.  Tool for Benchmarking BIM Performance of Design, Engineering and Construction Firms in The Netherlands , 2010 .

[70]  A. Raftery,et al.  Probabilistic forecasts, calibration and sharpness , 2007 .

[71]  Kalyan Vaidyanathan,et al.  CONSTRUCTION SUPPLY CHAIN MATURITY MODEL - CONCEPTUAL FRAMEWORK , 2007 .

[72]  Zongmin Ma,et al.  Data dependencies in extended possibility‐based fuzzy relational databases , 2002, Int. J. Intell. Syst..

[73]  P. Nick Blanchard,et al.  Effective Training: Systems, Strategies and Practices , 1998 .

[74]  Thomas L. Saaty,et al.  How to Make a Decision: The Analytic Hierarchy Process , 1990 .

[75]  G. A. Miller.  THE PSYCHOLOGICAL REVIEW THE MAGICAL NUMBER SEVEN, PLUS OR MINUS TWO: SOME LIMITS ON OUR CAPACITY FOR PROCESSING INFORMATION 1 , 1956 .