期刊文献+

基于集对分析与粗糙集理论的综合评价模型 被引量:4

A Comprehensive Evaluation Model Based on SPA and Rough-set Theory
下载PDF
导出
摘要 传统评价方法在处理评估问题时的基本思路是设法把随机不确定性和模糊不确定性在一定条件下转化为确定性,然后用处理变量的数学方法来处理这些不确定性,忽视了不确定性在一定范围内不确定的信息。尝试应用集对分析和粗糙集的基本概念和理论,建立综合评价模型,试图避免或化解传统评估方法的许多缺憾。最后,以一实例证明了利用这种综合评价模型对问题进行评估时,保留了问题的不确定信息,可在一定程度上客观、合理地反映出问题的本质。 The primary idea of traditional evaluation method when dealing with the issue of evaluation intents is to transform random uncertainty and fuzzy uncertainty into a certainty in certain conditions, and then use mathematical methods to deal with these uncertainties. However, the traditional idea only describes the uncertain characterization in certain conditions, ignoring uncertain information in a certain range,and nature of uncertainty. A kind of comprehensive evaluation model is presented based on set pair analysis(SPA) and rough-set theory in order to make up for lack of the traditional method to some extent. Finally, to some extent, reasonabihty of the model is proved by an example, and the uncertainty of the problem is reserved.
出处 《后勤工程学院学报》 2009年第4期81-85,共5页 Journal of Logistical Engineering University
基金 国家自然科学基金资助项目(70871118)
关键词 综合评估 集对分析 粗糙集 comprehensive evaluation set pair analysis rough-set
  • 相关文献

参考文献5

  • 1陈衍泰,陈国宏,李美娟.综合评价方法分类及研究进展[J].管理科学学报,2004,7(2):69-79. 被引量:471
  • 2YANG Jian-bo,SEN P A.A general multi-lever evaluation process for hybrid MADM with uncertainty[J].IEEE Transactions on Systems,Man,and Cybernetics,1994,24(10):1458-1473.
  • 3马晓东,阎理.基于FNN和RS理论的综合评估及应用实例[J].后勤工程学院学报,2005,21(1):97-100. 被引量:2
  • 4张文修 吴伟志 梁吉业.粗糙集理论与方法[M].北京:科学出版社,2003.107-112.
  • 5HU Xiao-hua,CEBCONE N.learning in relational databases:a rough set approach[J].Computational Intelligence,1995,11(2):323 -338.

二级参考文献79

  • 1朱宝璋.关于灰色系统基本方法的研究和评论[J].系统工程理论与实践,1994,14(4):52-60. 被引量:80
  • 2Pawlak Z. Rough sets[J]. International Journal of Information and Computer Science,1982, (11) :341 -356.
  • 3Bezdek J C. Pattern Recongnition with Fuzzy Objective Function Algorithms[ M]. Plenum Press, NY. ,1981.
  • 4陈宝林.最优化理论与算法[M].北京:清华大学出版社,1999.26.
  • 5Pawlak Z. Rough sets [ J]. Communications of ACM, 1995,38 ( 11 ) :89 - 95.
  • 6刘清.Rough集及Rough推理[M].北京:科学出版社,2003.209-212.
  • 7Levine P, Pomerol J C. PRIAM, an interactive program for choosing among multiple attribute alternatives[J]. European Journal of Operations Research, 1986, 25(2): 272-280.
  • 8Grabowski M R,Wallace W A. An expert system for maritime pilots: Its design and assessment using gaming[J]. Management Science, 1993, 3(12): 1506-1520.
  • 9Booker L,Goldberg D E, Holland J H.Classifier system and genetic algorithms[J]. Artificial Intellifence, 1989, 40(9): 1-3.
  • 10Dagli C,Schierholt K. Stock market prediction using different neural network classification architectures[A]. In: IEEE/IAFE 1996 Conference on Computational Intelligence for Financial Engineering[C]. 1996. 72-78.

共引文献574

同被引文献28

引证文献4

二级引证文献9

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