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Forsythe, P J (2007) A conceptual framework for studying customer satisfaction in residential construction. Construction Management and Economics, 25(02), 171–82.

Graafland, J and Nijhof, A (2007) Transparency, market operation and trust in the Dutch construction industry: an exploratory study. Construction Management and Economics, 25(02), 195–205.

Hua, G B (2007) Applying the strategic alignment model to business and ICT strategies of Singapore's small and medium-sized architecture, engineering and construction enterprises. Construction Management and Economics, 25(02), 157–69.

Leung, M-Y and Chan, H K L (2007) Antecedents of commitment in construction management. Construction Management and Economics, 25(02), 113–27.

Pan, W, Gibb, A G F and Dainty, A R J (2007) Perspectives of UK housebuilders on the use of offsite modern methods of construction. Construction Management and Economics, 25(02), 183–94.

Radosavljevic, M and Horner, M (2007) Process planning methodology: dynamic short-term planning for off-site construction in Slovenia. Construction Management and Economics, 25(02), 143–56.

Trigunarsyah, B (2007) Project designers' role in improving constructability of Indonesian construction projects. Construction Management and Economics, 25(02), 207–15.

Wang, C-H, Tsai, C-C and Cheng, Y-Y (2007) Knowledge-based diagnosis model for PCM executing problems in public construction. Construction Management and Economics, 25(02), 129–42.

  • Type: Journal Article
  • Keywords: Professional construction management; knowledge-base; fuzzy-neural approach
  • ISBN/ISSN: 0144-6193
  • URL: http://www.informaworld.com/openurl?genre=article&issn=0144%2d6193&issue=2&spage=129&volume=25
  • Abstract:
    A knowledge-based diagnosis model for PCM executing problems in Taiwan public construction is proposed by using a new fuzzy-neural approach. The diagnosis model confirms the causalities of the critical executing problems. By inputting the fuzziness of semantic description of the problems in the design phase this model can deduce the corresponding influence of the problems in the construction phase. The gravity of the problem is measured by the specific lagging percentage of estimated pricing progress. Finally, the data is integrated into a database management system to facilitate application, so as to make this diagnosis model an efficient instrument for public construction management.