Knowledge‐based diagnosis model for PCM executing problems in public construction

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.

Keywords:

• Professional construction management
• knowledge‐base
• fuzzy‐neural approach

Acknowledgements

The authors deeply appreciate the National Science Committees (NSC 92‐2211‐E‐011‐028) for sponsoring this research. The authors also appreciate Mr Glen Andrew Poter's help in editing the paper.