{"title":"一种诊断PCM执行问题的模糊神经方法","authors":"Chin-Chang Chuang, Chia-Chang Tsai","doi":"10.1109/SIEDS.2005.193254","DOIUrl":null,"url":null,"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.","PeriodicalId":317634,"journal":{"name":"2005 IEEE Design Symposium, Systems and Information Engineering","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A fuzzy neural approach for diagnosing PCM executing problems\",\"authors\":\"Chin-Chang Chuang, Chia-Chang Tsai\",\"doi\":\"10.1109/SIEDS.2005.193254\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":317634,\"journal\":{\"name\":\"2005 IEEE Design Symposium, Systems and Information Engineering\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-04-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2005 IEEE Design Symposium, Systems and Information Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIEDS.2005.193254\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2005 IEEE Design Symposium, Systems and Information Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIEDS.2005.193254","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.
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