The paper propose a general model that can combine the two kinds of OWA determination methods together: the optimization based methods and sample learning methods, that the relationship between these two kinds of problems is discussed. The analytical solution of this general model is proposed. Some properties of the problem are discussed. With this general model, we can observe the influences of the optimization criteria and the sample data on the OWA operator weight solution changes with the number of data examples.
['Xinwang Liu', 'Xiaoguang Yang', 'Yong Fang']
The relationships between two kinds of OWA operator determination methods