期刊文献+

基于二型三角诱导OWA算子的多准则决策方法 被引量:2

Multi-criteria decision-making method based on triangular type-2 induced OWA operator
原文传递
导出
摘要 定义了二型三角模糊数的相关概念、运算规则和可能度公式,并针对隶属度难以用精确数进行衡量的多准则决策问题,提出了基于二型三角诱导OWA算子的多准则决策方法.该方法通过二型三角诱导OWA算子确定方案的综合准则值,并由二型三角模糊数的可能度公式计算出综合准则值的排序,进而得到方案的排序.最后通过实例分析验证了所提出方法的有效性和可行性. The concepts,operating rules and possibility degree of triangular type-2 fuzzy numbers are proposed.For the problem of the multi-criteria decision making that the uncertainty of the criteria values is difficult to give with an accurate number,triangular type-2 fuzzy number is used to show the decision information.And multi-criteria decision-making method based on triangular type-2 induced OWA operator is proposed.In this method,the comprehensive criteria are attained by using the triangular type-2 induced OWA operator.Then the ranking of alternatives is obtained by using the possibility degree.Finally,an example analysis shows the feasibility and effectiveness of the proposed method.
机构地区 中南大学商学院
出处 《控制与决策》 EI CSCD 北大核心 2013年第7期1037-1040,1054,共5页 Control and Decision
基金 国家自然科学基金项目(71271218) 国家创新研究群体科学基金项目(71221061)
关键词 多准则决策 二型三角模糊数 二型三角诱导OWA算子 multiple-criteria decision-making triangular type-2 fuzzy number triangular type-2 induced OWA operator
  • 相关文献

参考文献21

  • 1Zadeh L A. Fuzzy set[J] _ Information and Control, 1965,8(2): 338-353.
  • 2Bellman R E, Zadeh L A. Decision-making in a fuzzyenvironment[J] . Management Science, 1970, 17(5): 141-164.
  • 3Wang J W, Cheng C H, Huang K-C. Fuzzy hierarchicalTOPSIS for supplier selection[J] . Applied Soft Computing,2009,9(1): 377-386.
  • 4杨静,邱菀华.基于投影技术的三角模糊数型多属性决策方法研究[J].控制与决策,2009,24(4):637-640. 被引量:43
  • 5Hejazi S R,Doostparast A, Hosseini S M. An improvedfuzzy risk analysis based on a new similarity measuresof generalized fuzzy numbers[J] . Expert Systems withApplications, 2011,38(8): 9179-9185.
  • 6Nezhad S S,Damghani K K. Application of a fuzzyTOPSIS method base on modified preference ratio andfuzzy distance measurement in assessment of traffic policecenters performance[J] . Applied Soft Computing, 2010,10(4): 1028-1039.
  • 7Hwang C M, Yang M S, Hung W L, et al. Similarity,inclusion and entropy measures between type-2 fuzzysets based on the Sugeno integral [J] . Mathematical andComputer Modelling, 2011, 53(9/10): 1788-1797.
  • 8Walker C L,Walker E A. Sets with type-2 operations[J] . IntJ of Approximate Reasoning, 2009,50(1): 63-71.
  • 9Yang M S,Lin D C. On similarity and inclusion measuresbetween type-2 fuzzy sets with an application toclustering[J] , Computers and Mathematics withApplications, 2009, 57(6): 896-907.
  • 10Aisbett J,Rickard J T, Morgenthaler D. Multivariatemodeling and type-2 fuzzy sets[J] . Fuzzy Sets and Systems,2011,163(1): 78-95.

二级参考文献8

  • 1周宏安,刘三阳.基于离差最大化模型的模糊多属性决策投影法[J].系统工程与电子技术,2007,29(5):741-744. 被引量:29
  • 2Dong W M , Wong F S. Fuzzy weighted averages and implementation of the extension principle[J]. Fuzzy Sets and Systems, 1987, 21(1):183-199.
  • 3Liou T S, Wang M J. Fuzzy weighted average: An improved algorithm[J]. Fuzzy Sets and Systems, 1992, 49(1) : 307-315.
  • 4Liou T S, Wang M J. Ranking fuzzy numbers with integral value[J]. Fuzzy Sets and Systems, 1992, 50 (3) : 247-255.
  • 5Guh Y Y, Hong C C, Wang K M , et al. Fuzzy weighted average: A max-min paired elimination method [J]. Computer Mathmatic Application, 1996, 32(2): 115-123.
  • 6Lee D H, Park D. An efficient algorithm for fuzzy weighted average[J]. Fuzzy Sets and Systems, 1997, 87 (1): 39-45.
  • 7Kao C, Liu S T. Fractional programming approach to fuzzy weighted average[J]. Fuzzy Sets and Systems, 2001,120(2) : 435-444.
  • 8徐泽水.基于期望值的模糊多属性决策法及其应用[J].系统工程理论与实践,2004,24(1):109-113. 被引量:70

共引文献42

同被引文献16

引证文献2

二级引证文献3

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部