考虑属性关联的不确定语言变量R-TOPSIS模型  

R-TOPSIS Method for the Decision-making Problem with Interaction under Uncertain Linguistic Variables Environment

作　　者：刘荣弟[1] 刘静霞[1] 李言辰 张晋春[1] 

机构地区：[1]大连海事大学数学系,大连116026

出　　处：《价值工程》2015年第16期199-201,共3页Value Engineering

基　　金：中央高校基本科研业务费(3132014036;3132014324);大连海事大学"大学生创新创业训练项目"(2014XSX203);大连海事大学"优秀本科生进实验室计划"资助

摘　　要：采用不确定语言变量进行决策是有效反映客观事物的复杂不确定性以及人类思维的模糊性手段。针对多属性决策问题中属性之间具有相互关联作用这一问题,在引入加权决策距离矩阵和Choquet积分构建了一种考虑属性关联的R-TOPSIS语言决策方法。最后结合案例说明该方法的决策过程以及该方法的可行性和有效性。Linguistic variable is an effective method to represent the complexity and uncertain of alternatives information, fuzziness of man＇s thinking. In order to solve the multiple attribute decision-making problems, the interactions among attributes are involved, this paper established a new R-TOPSIS model based on uncertain linguistic variables by introducing weight distance matrix and Choquet integral measure. Furthermore, a real example is employed to illustrate the validity and superiority of the proposed R-TOPSIS model, and it can be easily applied to various decision making problems with uncertain linguistic variables.

关 键 词：R-TOPSIS模型 不确定语言变量 CHOQUET积分 

分 类 号：C934[经济管理—管理学]