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检验检疫背景符合性条件风险严重度评价研究--基于证据理论 被引量:1

Study on Comprehensive Evaluation on Risk Severity of Conformity Factor in Inspection and Quarantine:Based on Evidential Theory
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摘要 针对检验检疫背景符合性条件风险严重度综合评价的特点,即多指标、多层次、评价标准模糊、属性复杂等,建立了综合风险严重度评价体系,提出了基于证据理论的动态综合模糊评价方法,并给出了具体的评价步骤:按指标属性将评价指标分为定性和定量两类;对各指标进行量化、一致性和无量纲化处理;从评价体系指标层开始进行动态立体综合评价;逐层合成综合绩效值。 According to the characteristics of comprehensive evaluation on risk severity of conformity factor in inspection and quarantine, such as multi-index,multi-layer,the incertitude of evaluation criterion and complicated attribute, this paper establishes the comprehensive evaluation index system on risk severity of conformity factor in inspection and quarantine, and proposes a new dynamic comprehensive fuzzy evaluation method based on the evidential theory. The evaluation steps are as follow:firstly,all of evaluation indexes are divided into two parts of qualitative items and quantitative items;secondly, each item is normalized;thirdly, each item of evaluation index system is analyzed dynamically and comprehensively; finally, the synthetical evaluated compositor is got by integrating each evaluation.
出处 《技术经济》 2008年第11期49-53,127,共6页 Journal of Technology Economics
基金 “十一五”国家科技支撑计划课题(2006BAK10B02)
关键词 检验检疫 风险严重度 评价指标体系 证据理论 动态综合评价 inspection and quarantine risk severity evaluation index system evidential theory dynamic comprehensive evaluation
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  • 1吴隽,张剑英,任丽娟.基于证据推理与粗集理论的供应链合作伙伴选择方法研究[J].中国软科学,2005(3):130-133. 被引量:17
  • 2龚本刚,华中生,檀大水.一种语言评价信息不完全的多属性群决策方法[J].中国管理科学,2007,15(1):88-93. 被引量:29
  • 3SAATY T L. The analytic hierarchy process[M]. New York.. McGraw-Hill, 1980.
  • 4SAATY T L. Decision-making with the AHP: why is the principal eigenvector necessary[J]. European Journal of Operaional Research, 2003,145 : 85-91.
  • 5DEMPSTER A P. A generalization of bayesian inference (with discussion)[J]. Journal of Royal Statistical Society Series B,1968,30(2) : 205-47.
  • 6SHAFER G. A mathematical theory of evidence [M]. Prineeton,NJ:Princeton University Press,1976.
  • 7YAGER R R, FEDRIZZI M, KACPRZYK J. Advances in the Dempser-Shafer Theory of Evidence[M]. Wiley, New York,1994.
  • 8YAGER R R. Modeling uncertainty using partial information[J]. Information Sciences,1999,121:271-294.
  • 9BRYSON N, MOBOLURIN A. A process for generating quantitative belief function[J]. European Journal of Operational Research, 1999,115 : 624-633.
  • 10YEN J. Generalizing the Dempster-Shafer theory to fuzzy sets[J]. IEEE Transactions on Systems Man and Cybernetics, 1990,20(3) :559-570.

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