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The OWA-based consensus operator under linguistic representation models using position indexes by Yucheng Dong; Yinfeng Xu; Hongyi Li; Bo Feng is a Engineering article available to read on EtoBox.

What is The OWA-based consensus operator under linguistic representation models using position indexes about?

When using linguistic approaches to solve decision problems, we need linguistic representation models. The symbolic model, the 2-tuple fuzzy linguistic representation model and the continuous linguistic model are three existing linguistic representation models based on position indexes. Together with these three linguistic models, the corresponding ordered weighted averaging operators, such as the linguistic ordered weighted averaging operator, the 2-tuple ordered weighted averaging operator and the extended ordered weighted averaging operator, have been developed, respectively. In this paper, we analyze the internal relationship among these operators, and propose a consensus operator under the continuous linguistic model (or the 2-tuple fuzzy linguistic representation model). The proposed consensus operator is based on the use of the ordered weighted averaging operator and the deviation measures. Some desired properties of the consensus operator are also presented. In particular, the consensus operator provides an alternative consensus model for group decision making. This consensus model preserves the original preference information given by the decision makers as much as possibl

Who reads The OWA-based consensus operator under linguistic representation models using position indexes?

It is typically read by researchers, students, and practitioners in Engineering.

Author
Yucheng Dong; Yinfeng Xu; Hongyi Li; Bo Feng
Publisher
Elsevier Science; Elsevier ; Elsevier BV (ISSN 0377-2217)
Published
2010
Language
EN
Field
Engineering (Physical Sciences)

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