Abstract
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.
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