计算机科学 ›› 2016, Vol. 43 ›› Issue (3): 262-265.doi: 10.11896/j.issn.1002-137X.2016.03.048
谭敏,史越,杨俊超,延静
TAN Min, SHI Yue, YANG Jun-chao and YAN Jing
摘要： 针对具有多粒度不确定语言评价信息的多属性群决策问题,提出了一种基于区间二元语义信息处理和矢量相似度的群决策方法,弥补了基于距离测度的决策方法易造成信息混淆的不足。该方法首先使用二元语义转换函数对多粒度区间语言评价信息进行一致化处理；然后通过建立使备选方案对正理想解相似度最大、负理想解相似度最小的最优化模型来获得相应的属性权重；最后利用区间二元语义的集结算子对评价信息进行加权集成,并通过优序数排序法实现对各方案的排序。实例分析说明了该方法的可行性和有效性。
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