Ideal Solution Method for Multiple Attribute Group Decision Making under Uncertain Linguistic Environment

Abstract

The aim of this paper is to investigate multiple attribute group decision making (MAGDM) problems with uncertain linguistic information, in which the attribute weights and expert weights take the form of real numbers, and the preference values take the form of uncertain linguistic variables. An approach to multiple attribute group decision making with uncertain linguistic information is developed based on the ULWA and the ideal solution. Finally, an example is shown to highlight the procedure of the proposed algorithm at the end of this paper.