Generalized-TODIM Method for Multi-criteria Decision Making with Basic Uncertain Information and its Application
This work addresses decision-making challenges in uncertain environments, but it appears incremental as it extends existing TODIM methods with new algebraic structures.
The paper tackled the problem of multi-criteria decision making under uncertainty by developing algebra operations and order relations for basic uncertain information, resulting in a generalized TODIM method validated through a numerical example.
Due to the fact that basic uncertain information provides a simple form for decision information with certainty degree, it has been developed to reflect the quality of observed or subjective assessments. In order to study the algebra structure and preference relation of basic uncertain information, we develop some algebra operations for basic uncertain information. The order relation of such type of information has also been considered. Finally, to apply the developed algebra operations and order relations, a generalized TODIM method for multi-attribute decision making with basic uncertain information is given. The numerical example shows that the developed decision procedure is valid.