COMMENTS ON “MULTIPLE CRITERIA
DECISION MAKING (MCDM) METHODS IN ECONOMICS: AN OVERVIEW”
James J.H. Liou1, Gwo-Hshiung Tzeng2,3
Abstract. This paper offers some comments on a previously published paper entitled
“Multiple criteria decision making (MCDM) methods in economics: an overview” by
Zavadskas and Turskis (2011). The authors of that work did make great efforts
to summarize MCDM methods, but we feel that they ignored some important new concepts
and trends in the MCDM field for solving real-world problems. First, the traditional
model assumes that the criteria are independent and hierarchical in structure; however,
in real-world problems, the relationships between the criteria or dimensions
are usually interdependent and sometimes even exert feedback effects. Second, the relative good solution from the existing
alternatives is replaced by the aspiration levels to fit today’s competitive
markets. Third, the trends have shifted from how to carry out the “ranking”
or “selection” of the most preferable alternatives, to how to “improve” their
performances. Fourth, information fusion/aggregation such as fuzzy integrals, basically,
a non-additive/super-additive model, has been developed to aggregate the
performances. Finally, the original fixed resource in multi-objective
programming is divided, so that both decision and objective spaces are
changeable. In this paper we add some new concepts and provide comments that could
be seen as completing the original paper.