A Linguistic-Valued Weighted Aggregation Operator to Multiple Attribute Group Decision Making with Quantative and Qualitative Information

DOI

10.2991/ijcis.2008.1.3.8How to use a DOI?

Keywords

Transformation functions, multiple attribute group decision making, linguistic-valued weighted aggregation (LVWA) operator, linguistic-valued lattice implication algebra, lattice theory

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.

Copyright

© 2008, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - JOUR
AU  - Xiaobing Li
AU  - Da Ruan
AU  - Jun Liu
AU  - Yang Xu
PY  - 2008
DA  - 2008/08/01
TI  - A Linguistic-Valued Weighted Aggregation Operator to Multiple Attribute Group Decision Making with Quantative and Qualitative Information
JO  - International Journal of Computational Intelligence Systems
SP  - 274
EP  - 284
VL  - 1
IS  - 3
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.2008.1.3.8
DO  - 10.2991/ijcis.2008.1.3.8
ID  - Li2008
ER  -