A Model to Determine OWA Weights and Its Application in Energy Technology Evaluation

To determine the ordered weighted averaging (OWA) weights, the latent information function is developed to analyze the likelihood of occurrence for the preference value. The more likelihood a preference value is, the bigger the weight is, and vice versa. The proposed model is further extended to the situation where the preference value is an interval number by introducing a new method for interval number comparison. An example of energy technology evaluation is provided to demonstrate that the proposed approach is reasonable and simple.