Aggregating preference rankings using OWA operator weights

Authors:
Ying-Ming Wang;Ying Luo;Zhongsheng Hua
Affiliations:
School of Public Administration, Fuzhou University, Fuzhou 350002, PR China;School of Management, Xiamen University, Xiamen 361005, PR China;School of Management, University of Science and Technology of China, Hefei 230026, PR China
Venue:
Information Sciences: an International Journal
Year:
2007

Citing 7
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Abstract

One important issue of aggregating preference rankings is to determine the weights of different ranking places. This paper proposes the use of ordered weighted averaging (OWA) operator weights to aggregate preference rankings, which allows the weights associated with different ranking places to be determined in terms of a decision maker (DM)'s optimism level characterized by an orness degree. By adjusting the DM's optimism level, ties can be avoided and winner can be selected. Two numerical examples are examined using OWA operator weights to show their applications, simplicity and flexibility in aggregating preference rankings.