基于不确定纯语言混合调和平均算子的多属性群决策方法

在现实生活中,由于决策者对一些特定领域问题的熟悉度和时间限制等因素制约,决策信息一般以不确定纯语言的形式给出,即专家权重、属性权重及属性值均为语言标度的形式. 本文研究了不确定纯语言环境下的多属性群决策问题,给出了不确定环境下的纯语言有序加权调和平均(UPLOWHA)算子,纯语言混合调和平均(UPLHHA)算子等,研究了基于这些算子的纯语言多属性群决策问题,提出了相应的多属性群决策方法. 该方法计算方便且能充分利用已有语言决策信息. 同时,将该方法应用于解决虚拟企业中的合作伙伴选择问题,并通过与其他方法的比较分析,说明此方法的有效性.

An Approach to Multiple Attribute Group Decision Making Based on Uncertain Pure Linguistic Hybrid Harmonic Averaging Operator

In the real life, due to people's limited expertise related to the problem domain, time pressure and so on, the decision information is expressed in the form of uncertain pure linguistic variables, in which all expert weights, attribute weights and attribute values take the form of linguistic labels. In this paper, the multiple attribute group decision making (MAGDM) problems under uncertain pure linguistic information are studied. Aggregation operators including the uncertain pure linguistic ordered weighed harmonic averaging (UPLOWHA) operator and the uncertain pure linguistic hybrid harmonic averaging (UPLHHA) operator are proposed. Also, an approach based on the proposed operators for MAGDM is developed. The prominent characteristic of the approach is straightforward and does not produce any loss of information. Moreover, the approach is applied to the partner selection of virtual enterprises. And finally, the effectiveness of the developed approach is shown by comparison with other methods.