Abstract
Group decision-making (GDM) is regarded as a main part of modern decision science. The aim of this paper is to develop a GDM method with heterogeneous decision information: real number, interval data and intuitionistic fuzzy number. The basic framework was based on the TOPSIS (technique for order preference by similarity to ideal solution) technique, in which the separations were based on a new normalized projection measure. There were no transformations and aggregations of different information representations in this model. The ranking of alternatives was based on original decision information. An experimental analysis was performed in order to illustrate the practicability, feasibility and validity of method introduced in this paper. In the end of this study, future research directions were suggested.
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