MULTI-CRITERIA GROUP DECISION MAKING WITH HETEROGENEOUS INFORMATION BASED ON IDEAL POINTS CONCEPT

DOI

10.1080/18756891.2013.802112How to use a DOI?

Keywords

multi–criteria group decision making (MCGDM), ideal points, heterogeneous information, information uniform, ordered weighted distance (OWD) measure, decision attitude

Abstract

This paper presents a flexible multi-criteria group decision making method based on ideal points concept, which can be used to deal with heterogeneous information(numerical, interval valued and linguistic variable with different granularity and/or semantic)and reflect the Decision Makers’ different decision attitudes. The heterogeneous information is homogenized firstly into linguistic variable characterized fuzzy number. To simplify the computations and improve the comprehensibility, the homogenized information is further transformed to the continue linguistic terms set. A new relative closeness measure based on ordered weighted distance is introduced to consider the decision Makers’ different decision attitudes. A numerical experiment is used to illustrate the feasibility of the proposed method.

Copyright

© 2017, 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  - JOUR
AU  - Ding-Hong Peng
AU  - Chang-Yuan Gao
AU  - Li-Li Zhai
PY  - 2013
DA  - 2013/07/01
TI  - MULTI-CRITERIA GROUP DECISION MAKING WITH HETEROGENEOUS INFORMATION BASED ON IDEAL POINTS CONCEPT
JO  - International Journal of Computational Intelligence Systems
SP  - 616
EP  - 625
VL  - 6
IS  - 4
SN  - 1875-6883
UR  - https://doi.org/10.1080/18756891.2013.802112
DO  - 10.1080/18756891.2013.802112
ID  - Peng2013
ER  -