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请游侠们帮我查两篇论文的检索情况！谢谢！ 已有2人参与
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（1）The DEA Operational Efficiency Evaluation of Credit Guarantee Institutions （Business Intelligence and Financial Engineering, 2009. BIFE '09. International Conference on ） 求查：是EI核心检索么？并请提供原文。 （2）Credit guarantee contract model based on asymmetric information （Control and Decision Conference, 2008. CCDC 2008. Chinese ） 求查：是EI核心检索么？并请提供原文。 我的信箱是：daniu9898@163.com |
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hnzz001
铁杆木虫 (正式写手)
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xiaogounihao(金币+1):谢谢提供 2010-08-22 20:48:29
xiaogounihao(金币+1):谢谢提供 2010-08-22 20:48:29
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Accession number: 20094712459187 Title: The DEA operational efficiency evaluation of credit guarantee institutions Authors: Xiaoling, Cui1, 2 ; Tianli, Zhong1 Author affiliation: 1 School of Business Administration, Northeastern University, Shenyang, China 2 School of Economics and Management, Liaoning Shi Hua University Corresponding author: Xiaoling, C. (xlingcui@126.com) Source title: 2009 International Conference on Business Intelligence and Financial Engineering, BIFE 2009 Abbreviated source title: Int. Conf. Bus. Intell. Financ. Eng., BIFE Monograph title: 2009 International Conference on Business Intelligence and Financial Engineering, BIFE 2009 Issue date: 2009 Publication year: 2009 Pages: 822-825 Article number: 5208766 Language: English ISBN-13: 9780769537054 Document type: Conference article (CA) Conference name: 2009 International Conference on Business Intelligence and Financial Engineering, BIFE 2009 Conference date: July 24, 2009 - July 26, 2009 Conference location: Beijing, China Conference code: 77973 Publisher: IEEE Computer Society, 445 Hoes Lane - P.O.Box 1331, Piscataway, NJ 08855-1331, United States Abstract: In order to evaluate the operational efficiency of the credit guarantee institutions objectively, data envelopment analysis (DEA) model is used in this paper. By introducing particle swarm optimization (PSO) algorithm, DEA model can rationally compute the operational efficiency of credit guarantee institutions with multiple inputs and multiple outputs correctly. For illustration, 31 members of a provincial association in China is utilized to show the feasibility of the DEA model in evaluating the operational efficiency of credit guarantee institutions with multiple inputs and multiple outputs. Empirical results show that the operational efficiency evaluation results cannot change with the selection of input indexes and output indexes. The PSO-based DEA model is more robust in evaluating the operating efficiency of credit guarantee institutions and makes the efficiency evaluation more subjectively. © 2009 IEEE. Number of references: 12 Main heading: Particle swarm optimization (PSO) Controlled terms: Data envelopment analysis - Societies and institutions Uncontrolled terms: Credit guarantee institutions - DEA models - Efficiency evaluation - Empirical results - Evaluation - Multiple inputs and multiple outputs - Operating efficiency - Operational efficiencies - Operational efficiency - Particle swarm optimization algorithm - PSO-based DEA model Classification code: 723 Computer Software, Data Handling and Applications - 901.1.1 Societies and Institutions - 912.3 Operations Research - 921.5 Optimization Techniques - 922 Statistical Methods DOI: 10.1109/BIFE.2009.190 Database: Compendex Compilation and indexing terms, © 2010 Elsevier Inc. |
2楼2010-08-21 23:12:22
hnzz001
铁杆木虫 (正式写手)
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xiaogounihao(金币+1):谢谢提供 2010-08-22 20:48:35
xiaogounihao(金币+1):谢谢提供 2010-08-22 20:48:35
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Accession number: 20084011610165 Title: Credit guarantee contract model based on asymmetric information Authors: Xiaoling, Cui1, 2 ; Tianli, Zhong1 Author affiliation: 1 Chool of Business Administration, Northeastern University, Shenyang 110004, China 2 School of Economics and Management, Liaoning Shi Hua University, Fushun 113001, China Corresponding author: Xiaoling, C. (xlingcui@126.com) Source title: Chinese Control and Decision Conference, 2008, CCDC 2008 Abbreviated source title: Chinese Contr. Decis. Conf., CCDC Monograph title: Chinese Control and Decision Conference, 2008, CCDC 2008 Issue date: 2008 Publication year: 2008 Pages: 2458-2462 Article number: 4597766 Language: English ISBN-13: 9781424417346 Document type: Conference article (CA) Conference name: Chinese Control and Decision Conference 2008, CCDC 2008 Conference date: July 2, 2008 - July 4, 2008 Conference location: Yantai, Shandong, China Conference code: 73596 Publisher: Inst. of Elec. and Elec. Eng. Computer Society, 445 Hoes Lane - P.O.Box 1331, Piscataway, NJ 08855-1331, United States Abstract: In practice, the credit guarantee institutions plan the credit guarantee contract bases on the average success probability or expected revenue without considering the risk level of small and medium-sized enterprise's (SME's) investment projects, which is not fair on SME with different risk. This paper builds a credit guarantee contract model based on the guarantee rate and counter-guarantee measure value. When different risk types of SME accept the same guarantee rate, the counter-guarantee measure value provided by them is equal. When different risk types of SME accept the different guarantee rate, the higher risky SME prefer accepting lower guarantee rate and providing higher counter-guarantee measure value, while, the lower risky SME are just the opposite. Guarantee institute can judge the risk type of SME exactly through SME with different risk selecting guarantee contract, which makes the guarantee contract more scientific and reasonable. This is the paper style requirement for the Chinese Control and Decision Conference. © 2008 IEEE. Number of references: 17 Main heading: Risk assessment Controlled terms: Contracts - Economics - Finance - Investments - Risks Uncontrolled terms: Asymmetric information - Counter-guarantee measure value - Credit guarantee contracts - Expected revenues - Guarantee rate - Investment projects - Model based - Risk levels - Risk type - Small- and medium-sized enterprise Classification code: 902.3 Legal Aspects - 911.1 Cost Accounting - 911.2 Industrial Economics - 914.1 Accidents and Accident Prevention - 971 Social Sciences DOI: 10.1109/CCDC.2008.4597766 Database: Compendex Compilation and indexing terms, © 2010 Elsevier Inc. |
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