ASA and its application to multi-criteria decision making

Abstract

Aggregation plays an important role in many applications related to the development of intelligent systems. In a fuzzy environment the existing aggregation operators are generally the t-norm, t-conorm, mean operators, Yager's operator and γ-operator. However, these aggregation operators do not properly reflect the situation in the aggregation process. That is, these types of aggregation operators are independent of the aggregation situation. In order to solve these problems we propose a new aggregation method to reflect the situation in the aggregation process. It is the aggregation based on situation assessment (ASA) method. It consists of the situation assessment model (SAM) and the ASA algorithm. In this ASA method, the SAM is utilized to reflect the situation in the aggregation process. This model generates the parameter, which is controlled by decision-maker. It indicates the current degree of aggregation situation. Therefore, our method can be adapted to certain situations by using the parameter. In this paper, ASA method is applied to the multi-criteria decision making environment.