期刊
INFORMATION SCIENCES
卷 177, 期 16, 页码 3356-3363出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.ins.2007.01.008
关键词
preference ranking; preference aggregation; OWA operator weights; orness degree
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. (C) 2007 Elsevier Inc. All rights reserved.
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