The ordered weighted average in the theory of expertons

Publication Type:
Journal Article
International Journal of Intelligent Systems, 2019, 34 (3), pp. 345 - 365
Issue Date:
Filename Description Size
Linares-Mustar-s_et_al-2019-International_Journal_of_Intelligent_Systems.pdfPublished Version658.92 kB
Adobe PDF
Full metadata record
© 2018 Wiley Periodicals, Inc. This work presents a data-fusion mathematical object that incorporates the optimism level of a decision-making agent. The new fusion object is constructed by extending the ordered weighted averaging (OWA) operator in the process of creating an experton. The main advantage of this approach is that it can represent the attitudinal character of the decision maker in the construction of the experton. Therefore, this approach represents a new method for addressing multiperson problems by using optimistic and pessimistic perspectives. The work presents different practical examples based on the absolute hierarchical relationships of the “minimum of the bottom end of the intervals,” “minimum of the top end of the intervals,” and “minimum size of the interval.” The work also considers a wide range of particular cases of the OWA-experton, including the minimum experton, the maximum experton, the average experton, and the olympic experton. In addition, the study presents software for the calculation of OWA-expertons. Finally, the paper ends with an application in business decision-making regarding the calculation of expected benefits.
Please use this identifier to cite or link to this item: