A linguistic-valued weighted aggregation operator to multiple attribute group decision making with quantitative and qualitative information

Xiaobing Li; Da Ruan; Jun Liu; Yang Xu

doi:10.1080/18756891.2008.9727624

A linguistic-valued weighted aggregation operator to multiple attribute group decision making with quantitative and qualitative information

Xiaobing Li, Da Ruan, Jun Liu, Yang Xu

Research output › peer-review

Abstract

In selecting an optional alternative in an environment of multiple attribute group decision making, different attributes of the alternative are often considered as with quantitative and qualitative information. Consequently, decision making problems may include preference information in different formats. In this paper, a lattice-based linguistic-valued weighted aggregation (LVWA) operator is proposed for multiple attribute group decision making with non-totally ordered linguistic-valued information. Then some transformation functions for unifying different formats of preference information are reviewed and summarized. Finally, an example is illustrated how to use the LVWA operator and transformation functions for multiple attribute group decision making.

Original language	English
Pages (from-to)	274-284
Number of pages	11
Journal	International Journal of Computational Intelligence Systems
Volume	1
Issue number	3
DOIs	https://doi.org/10.1080/18756891.2008.9727624
State	Published - Aug 2008

Funding

We would like to express our thanks to the support of the China-Flanders Bilateral Project (Grant No. O11S1105), the National Natural Science Foundation of China (Grant No. 60474022) and the Specialized Research Foundation for the Doctoral Program of Higher Education of China (Grant No. 20060613007).

Funders	Funder number
NSFC - National Natural Science Foundation of China	60474022
Specialized Research Fund for the Doctoral Program of Higher Education of China	20060613007

ASJC Scopus subject areas

General Computer Science
Computational Mathematics

Access to Document

10.1080/18756891.2008.9727624License: Unspecified

Cite this

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