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基于前景理论和模糊数学的我国商业银行信贷决策研究 被引量:3

Study on the Credit Decision-making of Commercial Banks Based on the Prospect Theory and Fuzzy Mathematics
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摘要 本文基于前景理论和模糊数学决策方法,研究我国商业银行客户经理的信贷决策行为,前景理论能够解释传统效用理论不能解释的异象,认为商业银行贷款客户经理是有限理性的,而非传统效用理论中的完全理性行为人。贷款客户经理在信贷决策过程中往往很难对客户风险信息给出精确的决策结论,在对客户的准则值进行评价时,用模糊形式来表示决策信息可以更好地刻画信贷决策问题,帮助银行贷款客户经理提高决策质量。 This article explores a fuzzy credit decision-making method of commercial banks based on prospect theory and interval numbers, simulates the commercial bankers' credit decision-making behaviors, enriches and improves the prospect the- ory and fuzzy decision-making theory. Prospect theory that can explain the phenomena that expected utility theo^y cannot ex- plain and gives a more comprehensive description of bounded rationality of hank credit managers. It is often very difficult for credit managers to give precise decision-making information of customers' risk in the credit decision-making process due to their limited knowledge and cognitive limitations. Expressing decision information in the form of interval numbers or other tuzzy num- bers when evaluating the value of customer's criteria can better characterize credit decision-making problems and help bank credit managers improve their decision quality.
作者 周超
出处 《中国经济问题》 CSSCI 北大核心 2013年第6期77-82,共6页 China Economic Studies
基金 国家自然科学基金<基于前景理论的商业银行信贷决策及绩效评价研究>(71240008)资助
关键词 商业银行 前景理论 模糊数学 commercial banks prospect theory fuzzy mathematics
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参考文献6

  • 1Herbert A. Simon. 1955. A behavioral model of rational choice [ J]. The Quarterly Journal of Economics, 69 (1) :99- 118.
  • 2Kahneman D. 1979. Prospect theory:An analysis of decision under risk[J]. Econometric, (2):48-53.
  • 3Tversky A. 1992. Advances in prospect theory:cumulative representation of uncertainty[ J]. Journal of Risk and Uncer- tainty, 5(4):297-323.
  • 4Von Neumann J. 1944. The theory of games and economic behavior[ J ]. Princeton:Princeton University Press, 51 (4) : 76-106.
  • 5王坚强.信息不完全的Fuzzy群体多准则决策的规划方法[J].系统工程与电子技术,2004,26(11):1604-1608. 被引量:31
  • 6曾建敏.实验检验累积前景理论[J].暨南大学学报(自然科学与医学版),2007,28(1):44-47. 被引量:58

二级参考文献48

  • 1王文平.不完备信息下的多目标优化方法研究[J].系统工程学报,1996,11(2):1-6. 被引量:17
  • 2陈珽.决策分析[M].北京:科学出版社,1987..
  • 3Soung H K,Chang H H. An interactive procedure for multi-attribute group decision making with incomplete information[J]. Computers & Operations Research, 1999,26:755-772.
  • 4Soung H K, Sang H C, Jae K K. An interactive procedure for multi-attribute group decision making with incomplete information:range-based approach[J]. European Journal of Operations Researchs, 1999,118:139-152.
  • 5Aouam T,Chang S I, Lee E S.Fuzzy MADM: an outranking method[J]. European Journal of Operational Research, 2003,145:317-328.
  • 6Hon C C, Guh Y Y, Wang K M. Fuzzy multiple attributes and multiple hierarchical decision making[J]. Computer Math. Applic.,1996,32(12):109-119.
  • 7Ekel Petr Ya. Methods of decision making in fuzzy environment and their applications[J]. Nonlinear Analysis,2001,47:979-990.
  • 8Basim AL-Najjar,Imad Alsyouf. Selecting the most efficient maintenance approach using fuzzy multiple criteria decision making[J]. Int. J. Production Economics,2003,84:85-100.
  • 9Chu Tachung. A fuzzy number interval arithmetic based fuzzy MCDM Algorithm[J]. Inter. J. Fuzzy Systems,2002,4(4):867-872.
  • 10Lee Hsuan-Shih. Optimal consensus of fuzzy opinions under group decision making environment[J]. Fuzzy Sets and Systems,2002,132:303-315.

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