查詢結果分析
來源資料
頁籤選單縮合
| 題 名 | A Neural Model of PCM Performance Evaluation=PCM專案績效評估模式建構 |
|---|---|
| 作 者 | 周義娟; 莊進昌; 熊雲嵋; | 書刊名 | 東南學報 |
| 卷 期 | 28 2005.06[民94.06] |
| 頁 次 | 頁341-350 |
| 分類號 | 441.3 |
| 關鍵詞 | 專業營建管理; 專案績效評估; Fuzzy; Neural network; DEA; Performance evaluation; |
| 語 文 | 英文(English) |
| 中文摘要 | 在臺灣,工程專案採用PCM顧問之相對效益一直無法具體衡量,亦因而影響業主採用PCM之信心與意願;因此,建立一個有效的PCM績效評估模式是一個相當值得研究之重要課題。本研究建立七個績效評估指標,結合DEA與EBFNN二者優點,建構一個PCM專案績效評估模式。模式建立後,一旦有新的PCM案例需要進行評估,業主輸入新案例每個評估指標之特徵向量,即可評估績效等級。 |
| 英文摘要 | aProfessional Construction Management (PCM) was introduced into Taiwan by the Bechtel Corporation (U.S.A.) early in the 1980s. In Taiwan, the relative benefits of projects involving PCM consultants are difficult to measure, thus, would affect the confidence and willingness of proprietors in employing PCM consultants. Therefore, establishing an effective PCM performance evaluation model is an important topic. This study established PCM 7 performance evaluation indices, combined the advantages of both DEA (Data Envelopment Analysis) and EBFNN (Exemplar-Based Fuzzy Neural Network) to establish a performance evaluation model of PCM project. With this model, whenever there is a new PCM project for evaluation, the proprietor only has to input the feature vector of each index of the new PCM case for evaluating performance class. |
本系統中英文摘要資訊取自各篇刊載內容。