期刊文献+

运用基于GA的粗糙集方法改进经典AHP方法研究 被引量:8

Extended AHP Method in Virtue of Rough Sets Theory Based on GA
下载PDF
导出
摘要 传统的AHP方法解决多准则决策系统有着独特的优势,但对于有些非常复杂的决策系统运用AHP进行分析后,在求解过程中,或者判断矩阵求解比较困难,或者求得的判断矩阵不能够通过一致性检验,从而使得传统AHP方法在解决某些复杂决策系统时失效.针对这种情形,提出运用基于GA的算法去约简经过AHP分析后的知识系统,然后或者直接运用RST方法中的规则进行排序而得到结果,或者对约简后的知识系统仍然用经典的AHP方法求解而得到排序结果.在此基础上,除了提出4条转换规则外,还运用该方法求解区域信息化水平比较决策系统,并与经典AHP求得结果进行比较,得出该方法比经典AHP方法更简单且可行的结论. AHP method can be used to solve problems in multi-criterion decision systems with its special advantages. However, some complicated problems cannot be easily solved with general methods after AHP analysis, because either the complicated tasks are unable to be solved by AHP as they do not satisfy the consistency condition or the estimated matrix is too intricate to solve so that AHP is invalidated. To deal with such problems, the AHP knowledge system is reduced with the aid of GA. The issue of AHP ordering is then solved with the RST method, or problems are reduced by RST still with classical AHP method. Thus, in additiori to the four rules in changing an AHP system into an RST decision system, the comparison decision system of region informatization level is solved using this method, and the results solved are the same as that obtained by classical AHP, indicating that the method is simpler and more reliable.
作者 倪明 徐福缘
出处 《应用科学学报》 CAS CSCD 北大核心 2005年第5期517-521,共5页 Journal of Applied Sciences
基金 国家自然科学基金(70472075) 国家"863"高技术研究发展计划(2002AA414310)资助项目
关键词 遗传算法 粗糙集理论 层次分析法 区域信息化水平 genetic algorithms (GA) rough sets theory (RST) analytic hierarchy process (AHP) region informatization level
  • 相关文献

参考文献16

二级参考文献41

  • 1王珏,苗夺谦,周育健.关于Rough Set理论与应用的综述[J].模式识别与人工智能,1996,9(4):337-344. 被引量:264
  • 2苗夺谦.Rough Set理论及其在机器学习中的应用研究[博士学位论文].北京:中国科学院自动化研究所,1997..
  • 3[1]Pawlak Z. Rough Sets: Theoretical Aspects of Reasoning a bout Data. Boston: Kluwer Academic Publishers,1991
  • 4[6]Ziarko W. Variable precision rough set model. Journal of Computer and System Sciences,1993,46(1):39~59
  • 5[7]Greco S,Matarazzo B,Slowinski R. A new rough set approach in multicreteria and multiattribute classification. In: Lecture Notes in Artificial Intelligence 1424, New York: Springer-Verlag, 1998
  • 6[8]Slezak D. Approximate reducts in decision tables. In: Proceedings of IPMU' 96 ,Granada,Spain, 1996,3:159~ 1164
  • 7[9]Quafatou M. α-RST: A generalization of rough set theory. In formation Sciences,2000,124(1~4) :301~316
  • 8[10]Kryszkiewicz M. Comparative studies of alternative type of knowledge reduction in inconsistent systems. International Journal of Intelligent Systems, 2001,16(1): 105~120
  • 9Pawlak Z. Rough sets-theoretical aspects of reasoning about data[M]. Dordrecht :Kluwer Academic Publishers,1991:9-30.
  • 10Pawlak Z. Rough set theory and its application to data analysis[J]. Cybernetics and Systems, 1998,29(9):661-668.

共引文献802

同被引文献88

引证文献8

二级引证文献30

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