Generalized ordered weighted logarithm aggregation operators and their applications to group decision making
International Journal of Intelligent SystemsPublished 1 January 2010
Ligang Zhou, Huayou Chen
Citations85
SJR quartileQ1
SJR score1.14
SNIP1.40
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TL;DR
The generalized ordered weighted logarithm averaging (GOWLA) operator is a new aggregation operator that generalizes the ordered weighted geometric averaging (OWGA) operator that adds to the OWGA operator an additional parameter controlling the power to which the arguments are raised.
Abstract
We present the generalized ordered weighted logarithm averaging (GOWLA) operator based on an optimal deviation model. It is a new aggregation operator that generalizes the ordered weighted geometric averaging (OWGA) operator. This operator adds to the OWGA operator an additional parameter. controlling the power to which the arguments are raised. We further generalize the GOWLA operator and obtain the generalized ordered weighted hybrid logarithm averaging (GOWHLA) operator. We next introduce a nonlinear objective programming model for determining GOWHLA weights and an approach to group decision making based on the GOWHLA operator. Finally, we present a numerical example to illustrate the new approach in human resource management problem. © 2010 Wiley Periodicals, Inc.
Keywords
Decision SciencesMathematicsEngineering
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