| Credit Assessment of Contractors： A Rough Set Method |
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| 引用本文： | 刘高军,朱嬿.Credit Assessment of Contractors： A Rough Set Method[J].清华大学学报,2006,11(3):357-362. |
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| 作者姓名： | 刘高军 朱嬿 |
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| 作者单位： | Department of Construction Management Tsinghua University Beijing 100084，China，Department of Construction Management，Tsinghua University Beijing 100084，China |
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| 基金项目： | SupportedbytheMinistryofConstruction,China |
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| 摘 要： | Introduction China’s construction industry has encountered a credit crisis in parallel with its remarkable progress in recent years.Bad credit results in increasing nonperformance,poor quality projects,chains of defaults,fraud and cor-ruption in the indu…
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| 关 键 词： | 信用评估 粗糙集 数据挖掘 建筑业 中国 |
| 收稿时间： | 2004-10-18 |
| 修稿时间： | 2004-10-182005-01-05 |
Credit Assessment of Contractors: A Rough Set Method |
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| LIU Gaojun,ZHU Yan.Credit Assessment of Contractors: A Rough Set Method[J].Tsinghua Science and Technology,2006,11(3):357-362. |
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| Authors: | LIU Gaojun ZHU Yan |
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| Institution: | Department of Construction Management, Tsinghua University, Beijing 100084, China |
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| Abstract: | A rough set method is presented in this paper to assess the credit of contractors. Unlike traditional methods, the rough set method deduces credit-classifying rules from actual data to predict new cases. The method uses a contractors' database with a genetic algorithm and an exhaustive reduction implemented using ROSETTA software that integrates rough set method. The classification accuracy of the rough set model is not as good as that of a decision tree, logistic regression, and neural network models, but the rough set model more accurately predicts contractors with bad credit. The results show that the rough set model is especially useful for detecting corporations with bad credit in the currently disordered Chinese construction market. |
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| Keywords: | credit assessment rough set data mining construction industry China |
| 本文献已被 CNKI 维普 万方数据 ScienceDirect 等数据库收录！ |
