A fuzzy neural approach for diagnosing PCM executing problems

This study made a complete survey in professional construction management (PCM) of Taiwan, generalizing 6 critical executing problems in plan and 15 in design. Based on the characteristics of PCM back-propagation neural network (BPNN) and knowledge-based fuzzy neural network (KBFNN), the PCM planning and designing executing problems (PDEP) knowledge base was created for analyzing the causal relationships between these problems and their influence on overall goals of projects. This result indicates that the primary executing problem in planning stage is improper selection of design consultants. Finally, the PCM executing problems diagnosis system was created with access to serve as references to PCM consultants in project management.