OWA aggregation of multi-criteria with mixed uncertain fuzzy satisfactions
This work addresses decision-making under uncertainty for domains like engineering or management, but it is incremental as it extends existing methods to fuzzy systems.
The paper tackles the problem of multi-criteria decision-making with fuzzy linguistic satisfactions by applying the Ordered Weighted Averaging (OWA) operator combined with measure-based dominance to compute overall scores for alternatives, as demonstrated through an illustrative example.
We apply the Ordered Weighted Averaging (OWA) operator in multi-criteria decision-making. To satisfy different kinds of uncertainty, measure based dominance has been presented to gain the order of different criterion. However, this idea has not been applied in fuzzy system until now. In this paper, we focus on the situation where the linguistic satisfactions are fuzzy measures instead of the exact values. We review the concept of OWA operator and discuss the order mechanism of fuzzy number. Then we combine with measure-based dominance to give an overall score of each alternatives. An example is illustrated to show the whole procedure.