An integrated fuzzy ANP–QFD approach for green building assessment

One of the major concerns in the construction industry is the sustainability of building projects. There are various trade-offs between functionality and design, which often lead to an issue of whether sustainably designed buildings would meet stakeholder requirements. This paper provides a novel integrated structure for assessing green buildings realistically based on stakeholders’ fuzzy preferences. In particular, the paper uses the analytic network approach (ANP) to evaluate the correlation matrices in a quality function deployment (QFD) framework. A case study on green building index assessment in Malaysia illustrates the proposed integrated method. Sensitivity analysis validated the customerstakeholder agreement towards the design of the green building. Cluster analysis was also used to group design specifications prior to the analysis.

[1]  Glenn H. Mazur,et al.  The leading edge in QFD: past, present and future , 2003 .

[2]  Gülçin Büyüközkan,et al.  A new incomplete preference relations based approach to quality function deployment , 2012, Inf. Sci..

[3]  Da Ruan,et al.  Quality function deployment implementation based on analytic network process with linguistic data: An application in automotive industry , 2005, J. Intell. Fuzzy Syst..

[4]  Mark Goh,et al.  Fuzzy PROMETHEE GDSS for technical requirements ranking in HOQ , 2015 .

[5]  Seyyed-Mahdi Hosseini-Motlagh,et al.  Hybrid models in decision making under uncertainty: The case of training provider evaluation , 2010, J. Intell. Fuzzy Syst..

[6]  Chin Haw Lim,et al.  Development of rating system for Sustainable building in Malaysia , 2009 .

[7]  Ming-Lu Wu,et al.  Quality function deployment: A literature review , 2002, Eur. J. Oper. Res..

[8]  Shuzo Murakami,et al.  Development of a comprehensive city assessment tool: CASBEE-City , 2011 .

[9]  John Burnett,et al.  Benchmarking energy use assessment of HK-BEAM, BREEAM and LEED , 2008 .

[10]  Serhat Burmaoglu,et al.  A fuzzy multi-criteria decision making approach to assess building energy performance , 2014 .

[11]  Jonas Šaparauskas.  MULTIPLE CRITERIA EVALUATION OF BUILDINGS WITH EMPHASIS ON SUSTAINABILITY , 2003 .

[12]  James J. Buckley,et al.  Fuzzy hierarchical analysis: the Lambda-Max method , 2001, Fuzzy Sets Syst..

[13]  Sarel Lavy,et al.  Identification of parameters for embodied energy measurement: A literature review , 2010 .

[14]  Carol C. Menassa,et al.  A framework to assess the role of stakeholders in sustainable building retrofit decisions , 2014 .

[15]  Hikmat H. Ali,et al.  Developing a green building assessment tool for developing countries – Case of Jordan , 2009 .

[16]  Mark Goh,et al.  PROMETHEE Group Decision Support System and the House of Quality , 2013 .

[17]  Chih-Hong Wang,et al.  An advanced quality function deployment model using fuzzy analytic network process , 2010 .

[18]  T. Ramayah,et al.  Determining consumers' most preferred eWOM platform for movie reviews: A fuzzy analytic hierarchy process approach , 2014, Comput. Hum. Behav..

[19]  B. Hwang,et al.  Green building project management: obstacles and solutions for sustainable development , 2012 .

[20]  Da Ruan,et al.  Fuzzy group decision-making to multiple preference formats in quality function deployment , 2007, Comput. Ind..

[21]  Lotfi A. Zadeh,et al.  The Concepts of a Linguistic Variable and its Application to Approximate Reasoning , 1975 .

[22]  Tick Hui Oh,et al.  Green progress and prospect in Malaysia , 2011 .

[23]  R. Judkoff,et al.  Lessons Learned from Case Studies of Six High-Performance Buildings , 2006 .

[24]  Chrisna Du Plessis,et al.  A strategic framework for sustainable construction in developing countries , 2007 .

[25]  Keng Lin Soh,et al.  What is the leanness level of your organisation in lean transformation implementation? An integrated lean index using ANP approach , 2014 .

[26]  Wei-Wen Wu,et al.  Developing global managers' competencies using the fuzzy DEMATEL method , 2007, Expert Syst. Appl..

[27]  Alison Kwok,et al.  Addressing climate change in comfort standards , 2010 .

[28]  Weimin Wang,et al.  Applying multi-objective genetic algorithms in green building design optimization , 2005 .

[29]  Mark Goh,et al.  Modeling funding allocation problems via AHP-fuzzy TOPSIS , 2012 .

[30]  Charles Lockwood,et al.  Building the green way. , 2006, Harvard business review.

[31]  Gülçin Büyüközkan,et al.  A fuzzy optimization model for QFD planning process using analytic network approach , 2006, Eur. J. Oper. Res..

[32]  Peng Gao,et al.  A hybrid decision support system for sustainable office building renovation and energy performance improvement , 2010 .

[33]  P. Balachandra,et al.  Energy efficiency in India: Assessing the policy regimes and their impacts , 2010 .

[34]  Nuri Mehmet Gokhan,et al.  The Economic Benefits of Green Buildings: A Comprehensive Case Study , 2006 .

[35]  Chi-Jen Lin,et al.  A causal analytical method for group decision-making under fuzzy environment , 2008, Expert Syst. Appl..

[36]  Sevin Sozer,et al.  Product planning in quality function deployment using a combined analytic network process and goal programming approach , 2003 .

[37]  Thomas L. Saaty,et al.  Decision making with dependence and feedback : the analytic network process : the organization and prioritization of complexity , 1996 .