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基于新型语言评估标度的二元语义改进模型
引用本文:鲍广宇,连向磊,何明,王玲玲.基于新型语言评估标度的二元语义改进模型[J].控制与决策,2010,25(5):780-784.
作者姓名:鲍广宇  连向磊  何明  王玲玲
作者单位:解放军理工大学指挥自动化学院,南京,210007
基金项目:总装预研基金项目(9140A06020206JB8102)
摘    要:为了有效地求解基于语言评价信息的多属性决策问题,针对目前常用的二元语义分析方法中存在的标度转换问题,提出一种处理语言评价信息的新型复合标度(该标度综合了指数标度和-n~n标度的优点),建立了基于新型复合标度的二元语义改进模型.算例验证结果表明,新型复合标度为处理定性的语言评价信息提供了科学依据,所提出的改进模型可以有效提高决策结果的精度和可信度.

关 键 词:多属性决策  语言评价信息  标度转换  复合标度  
收稿时间:2009/5/27 0:00:00
修稿时间:2009/9/5 0:00:00

Improved two-tuple linguistic representation model based on new linguistic evaluation scale
BAO An-Yu,LIAN Xiang-Lei,HE Meng,WANG Ling-Ling.Improved two-tuple linguistic representation model based on new linguistic evaluation scale[J].Control and Decision,2010,25(5):780-784.
Authors:BAO An-Yu  LIAN Xiang-Lei  HE Meng  WANG Ling-Ling
Abstract:

To solve the multiple attribute decision-making problems effectively, for the scale transformation problem of the
two-tuple linguistic, a new compound scale is proposed deal with linguistic evaluation information, which combines the merit of both exponential scale and −n∼ n scale. An improved two-tuple linguistic representation model based on new linguistic evaluation scale is setup. Experiment results show that, the improved representation model can reduce the loss and distortion of information in aggregating, and improved the precision and reliability of the results effectively.

Keywords:Multiple attribute decision-making  Linguistic evaluation information  Scale transformation  Compound scale  
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