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Bröchner, J (2009) Construction metaphors in Aristotle: knowledge, purpose, process. Construction Management and Economics, 27(05), 515–23.

Cooper, I (1999) Which focus for building assessment methods: environmental performance or sustainability?. Building Research & Information, 27(05), 321–31.

Crawley, D and Aho, I (1999) Building environmental assessment methods: applications and development trends. Building Research & Information, 27(05), 300–8.

Curwell, S, Yates, A, Howard, N, Bordass, B and Doggart, J (1999) The Green Building Challenge in the UK. Building Research & Information, 27(05), 286–93.

Fox, S (2009) Applying critical realism to information and communication technologies: a case study. Construction Management and Economics, 27(05), 465–72.

Gluch, P, Gustafsson, M and Thuvander, L (2009) An absorptive capacity model for green innovation and performance in the construction industry. Construction Management and Economics, 27(05), 451–64.

Kimata, N (1999) Japanese expectations for green building assessments. Building Research & Information, 27(05), 294–9.

Kohler, N (1999) The relevance of green building challenge: an observer's perspective. Building Research & Information, 27(05), 309–20.

Kumar, V and Lin, E T A (2020) Conceptualizing “COBieEvaluator”. Engineering, Construction and Architectural Management, 27(05), 1093–118.

Larsson, N K (1999) Development of a building performance rating and labelling system in Canada. Building Research & Information, 27(05), 332–41.

Liu, D, Wang, Y, Chen, J and Zhang, Y (2019) Intelligent compaction practice and development: a bibliometric analysis. Engineering, Construction and Architectural Management, 27(05), 1213–32.

Lu, W, Tam, V W, Chen, H and Du, L (2020) A holistic review of research on carbon emissions of green building construction industry. Engineering, Construction and Architectural Management, 27(05), 1065–92.

Tang, L C M and Leung, A Y T (2009) An entropy-based financial decision support system (e-FDSS) for project analysis in construction SMEs. Construction Management and Economics, 27(05), 499–513.

  • Type: Journal Article
  • Keywords: decision support system; entropy; fuzzy logic; genetic algorithm; project management
  • ISBN/ISSN: 0144-6193
  • URL: https://doi.org/10.1080/01446190902883049
  • Abstract:
    Uncertainty contributes a major part in the accuracy of a decision-making process while its inconsistency is always difficult to be solved by existing decision-making tools. Entropy has been proved to be useful to evaluate the inconsistency of uncertainty among different respondents. The study demonstrates an entropy-based financial decision support system called e-FDSS. This integrated system provides decision support to evaluate attributes (funding options and multiple risks) available in projects. Fuzzy logic theory is included in the system to deal with the qualitative aspect of these options and risks. An adaptive genetic algorithm (AGA) is also employed to solve the decision algorithm in the system in order to provide optimal and consistent rates to these attributes. Seven simplified and parallel projects from a Hong Kong construction small and medium enterprise (SME) were assessed to evaluate the system. The result shows that the system calculates risk adjusted discount rates (RADR) of projects in an objective way. These rates discount project cash flow impartially. Inconsistency of uncertainty is also successfully evaluated by the use of the entropy method. Finally, the system identifies the favourable funding options that are managed by a scheme called SME Loan Guarantee Scheme (SGS). Based on these results, resource allocation could then be optimized and the best time to start a new project could also be identified throughout the overall project life cycle.

Tuuli, M M and Rowlinson, S (2009) Empowerment in project teams: a multilevel examination of the job performance implications. Construction Management and Economics, 27(05), 473–98.

Viswanathan, S K and Jha, K N (2020) Critical risk factors in international construction projects. Engineering, Construction and Architectural Management, 27(05), 1169–90.

Yun, L, Wan, J, Wang, G, Bai, J and Zhang, B (2020) Exploring the missing link between top management team characteristics and megaproject performance. Engineering, Construction and Architectural Management, 27(05), 1039–64.

Yung, P (2009) Institutional arrangements and construction safety in China: an empirical examination. Construction Management and Economics, 27(05), 439–50.

Zaman, U (2020) Examining the effect of xenophobia on “transnational” mega construction project (MCP) success. Engineering, Construction and Architectural Management, 27(05), 1119–43.

Zhang, J, Li, H, Golizadeh, H, Zhao, C, Lyu, S and Jin, R (2020) Reliability evaluation index for the integrated supply chain utilising BIM and lean approaches. Engineering, Construction and Architectural Management, 27(05), 997–1038.

Zhu, D, Wen, H and Deng, Y (2020) Pro-active warning system for the crossroads at construction sites based on computer vision. Engineering, Construction and Architectural Management, 27(05), 1145–68.

Zhu, F, Wang, L, Yu, M and Yang, X (2020) Quality of conflict management in construction project context. Engineering, Construction and Architectural Management, 27(05), 1191–211.