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

doi:10.16381/j.cnki.issn1003-207x.2015.02.016

Abstract

Abstract: 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.

Key words: multiple attribute group decision making, linguistic label, UPLHHA operator, virtual enterprise

CLC Number:

C934

PENG Bo, YE Chun-ming. An Approach to Multiple Attribute Group Decision Making Based on Uncertain Pure Linguistic Hybrid Harmonic Averaging Operator[J]. Chinese Journal of Management Science, 2015, 23(2): 131-138.

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

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