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Soft Computing
Erschienen in: Soft Computing 3/2015

01.03.2015 | Methodologies and Application

Generalized ordered weighted logarithmic harmonic averaging operators and their applications to group decision making

verfasst von: Ligang Zhou, Zhifu Tao, Huayou Chen, Jinpei Liu

Erschienen in: Soft Computing | Ausgabe 3/2015

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Abstract

We present a new aggregation operator called the generalized ordered weighted logarithmic harmonic averaging (GOWLHA) operator, which is based on an optimal deviation model. We study some properties and different particular cases of the GOWLHA operator. We also generalize the GOWLHA operator. The key advantage of the GOWLHA operator is that it is an aggregation operator with theoretic basis on aggregation. Moreover, we indicate some properties of the GOWLHA operator weights and propose an orness measure of the GOWLHA operator. Furthermore, we introduce the generalized least squares method to determine the GOWLHA operator weights based on its orness measure. In the end, we develop an application of the new approach in a case of group decision making in political management.
Vorheriger Artikel An improved CACO algorithm based on adaptive method and multi-variant strategies
Nächster Artikel An incremental mixed data clustering method using a new distance measure

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Metadaten
Titel
Generalized ordered weighted logarithmic harmonic averaging operators and their applications to group decision making
verfasst von
Ligang Zhou
Zhifu Tao
Huayou Chen
Jinpei Liu
Publikationsdatum
01.03.2015
Verlag
Springer Berlin Heidelberg
Erschienen in
Soft Computing / Ausgabe 3/2015
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-014-1295-8

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