A fuzzy neural approach for diagnosing PCM executing problems

Chin-Chang Chuang, Chia-Chang Tsai
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Abstract

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.
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一种诊断PCM执行问题的模糊神经方法
本研究对台湾专业建筑管理(PCM)进行全面调查,归纳出规划执行中的6个关键问题和设计执行中的15个关键问题。基于PCM反向传播神经网络(BPNN)和基于知识的模糊神经网络(KBFNN)的特点,建立了PCM规划与设计执行问题(PDEP)知识库,分析了这些问题之间的因果关系及其对项目总体目标的影响。这一结果表明,规划阶段的主要执行问题是设计顾问的选择不当。最后,建立了PCM执行问题诊断系统,为PCM顾问在项目管理中提供参考。
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