Linguistic information aggregation operator and its application in multi-attribute group decision making

DOI

10.2991/meic-15.2015.148How to use a DOI?

Keywords

Distance measure; linguistic information; aggregation operator; similarity measure; MAGDM

Abstract

This paper proposes a new method to deal with the multi-attribute group decision making (MAGDM) problem. Firstly, a new distance measure between two linguistic terms is defined, then a new linguistic information aggregation operator based on the distance measure is proposed and their properties are studied. Secondly, in order to deal with multi-attribute group decision making problem under linguistic environment, a similarity measure between two linguistic preference matrices is proposed. The aggregation operator and the similarity measure are applied to a MAGDM problem. Finally, a numerical example is proposed to prove that the new operator is effective in the MAGDM problems. This method avoid the case that a numerical value times a linguistic information and the results of evaluation are still belongs to the original linguistic term set no matter how to calculate. By using the supporting of the order, the linguistic information can not be lose in the aggregation process.

Copyright

© 2015, 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/).

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TY  - CONF
AU  - Jibin Lan
AU  - Shangfei Lu
AU  - Xiaochun Mo
AU  - Zhongxing Wang
PY  - 2015/04
DA  - 2015/04
TI  - Linguistic information aggregation operator and its application in multi-attribute group decision making
BT  - Proceedings of the 2015 International Conference on Mechatronics, Electronic, Industrial and Control Engineering
PB  - Atlantis Press
SP  - 651
EP  - 655
SN  - 2352-5401
UR  - https://doi.org/10.2991/meic-15.2015.148
DO  - 10.2991/meic-15.2015.148
ID  - Lan2015/04
ER  -