不确定型时序多属性群决策及在服务创新中的应用

提出了不确定型时序多属性群决策的新问题,并选用区间数处理方法对不确定型时序多属性群决策方法进行了研究.构建了能同时兼顾线性算子与非线性算子特点的区间数组合加权平均算子,并针对信息集结中综合评价结果对集结路径的依赖问题,确立了基于偏差缩减的多路径集成思路,同时给出了偏差最小法、可靠性加权法、客观差异法等3种合成方法.最后,将上述方法用于目前理论及实务界广泛关注的服务创新方案选择问题中,验证了其有效性.

Uncertain Multi-attribute Sequential Group Decision-Making Process and Its Application to Service Innovation

A new problem of uncertain multi-attribute sequential group decision-making process was put forward and investigated with the interval number. A combinational interval number weighted average operator was built taking account of both characteristics of linear and non-linear operators. Aiming at the dependence of comprehensive evaluation results during information aggregation on aggregating path,an idea of multipath aggregation based on deviation reduction was proposed to provide three synthesis methods,i.e....