Abstract
We discuss the maximum entropy approach to obtaining the weights associated with the ordered weighted averaging (OWA) aggregation operator. The resulting weights are called the MEOWA weights. Using the method of LaGrange multipliers, we obtain an analytic form for these weights and describe some of their properties. The concept of immediate probabilities is introduced as being a transformation of a probability distribution based on a decision maker's degree of optimism. This transformation, which is affected by an OWA operator, is shown to result in a relationship between the transformed expected value and the degree of optimism that is monotone when the weights used are the MEOWA weights.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
