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基于区间灰数的α-PROMETHEE方法研究及应用 被引量:1

α-PROMETHEE method based on interval grey numbers
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摘要 运用灰色理论对决策信息通常为区间灰数的决策问题进行加工和扩展,建立了区间灰数可比较的原则及范数,提出了基于灰数不确定信息的α-PROMETHEE决策的表达及运算方法,实现了属性为区间灰数及区间灰数信息融合的多属性群决策的目的。 The decision making problem ordinarily described by interval grey numbers using grey theory is dealt with and extended.The comparable principle and norm between interval grey numbers are constructed.Then an α-PROMETHEE method and its application based-on interval grey numbers are proposed,and the purpose of multi-attribute group decision making and information fusion based on interval grey numbers is achieved.
出处 《系统工程与电子技术》 EI CSCD 北大核心 2010年第4期780-783,共4页 Systems Engineering and Electronics
关键词 区间灰数 群决策 信息融合 α-PROMETHEE interval grey number group decision information fusion α-PROMETHEE
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  • 1Guo H,Deng J L.Condition number of data matrix in GM(1,N)[J].The Journal of Grey System,1999,11(3):223-228.
  • 2Deng J L.Demension of medium parameters in GM(1,1)[J].The Journal of Grey System,1999,11(1):28-34.
  • 3Liu S F,Deng J L.GM(1,1) coding for exponential series[J].The Journal of Grey System,1999,11(2):147-153.
  • 4Deng J L.Three stages for grey modeling and grey models[J].The Journal of Grey System,2002,14(3):213-216.
  • 5Lin Y,Liu S F.A systemic analysis with data(Ⅰ)[J].International Journal of General Systems(UK),2000,29(6):989-999.
  • 6Lin Y,Liu S F.A systemic analysis with data(Ⅱ)[J].International Journal of General Systems(UK),2000,29(6):1001-1013.
  • 7Lin Y H,Lee P C,Chang T P,et al.Multi-attribute group decision making model under the condition of uncertain information[J].Automation in Construction,2008,17:792-797.
  • 8刘俊娟,王炜,程琳.基于TOPSIS和隶属函数的灰数决策模型[J].铁道科学与工程学报,2007,4(6):93-97. 被引量:7
  • 9刘俊娟,王炜,程琳.基于TWW函数的公路网灰数评价方法[J].系统工程理论与实践,2007,27(7):156-159. 被引量:14
  • 10赵艳林,杨绿峰,吕海波,韦树英.不确定信息条件下的灰色模式识别[J].控制与决策,2003,18(5):593-596. 被引量:5

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  • 1赵英刚,何钦铭,陈奇.基于灰色信息的支持向量域分类算法[J].华中科技大学学报(自然科学版),2005,33(z1):282-284. 被引量:1
  • 2潘明清,周晓军,吴瑞明,雷良育.基于主元分析的支持向量数据描述机械故障诊断[J].传感技术学报,2006,19(1):128-131. 被引量:18
  • 3Sunaga T. Theory of an interval algebra and its application to numerical analysis, RAAG Memoirs, 1958, (2): 29-46.
  • 4Tax D, Duin R. Support vector domain description. Pattern Recognition Letters, 1999, 20(11213): 1191-1199.
  • 5Tax D, Duin R. Data domain description using support vectors. Proceedings of the European Symposium on Artificial Neural Networks, 1999.
  • 6Tax D, Duin R. Outlier detection using classifier instability. Advances in Pattern Recognition, Lecture notes in Computer Science, 1998, 1451: 593-601.
  • 7Boser B E, Guyon I M, Vapink V A. Training algorithm for optimal margin classifiers. Proceed- ings of the fifth Annual Workshop on Computational Learning Theory, Pittsburgh, Pennsylvania, United States, 1992.
  • 8Aronszajin N. Theory of reproducing kernels. Transactions of the American Mathematical Society, 1950, 68: 337-404.
  • 9Aizerman M A, et al. Theoretical foundations of the potential function method in pattern recog- nition learning. Journal of Machine Learning Research, 2000: 113-141.
  • 10Tran L, Duckstein L. Comparison of fuzzy numbers using a fuzzy distance measure. Fuzzy sets and Systems, 2002, 130: 331-341.

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