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International Journal of Machine Learning and Cybernetics
Published in: International Journal of Machine Learning and Cybernetics 4/2019

06-12-2017 | Original Article

The probabilistic ordered weighted continuous OWA operator and its application in group decision making

Authors: Xi Liu, Bing Han, Huayou Chen, Ligang Zhou

Published in: International Journal of Machine Learning and Cybernetics | Issue 4/2019

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Abstract

In this paper, the aim is to propose a new aggregation operator called the probabilistic ordered weighted continuous OWA (POW-COWA) operator to aggregate the continuous interval number. The primary character of the POW-COWA operator is that it unifies the probability and the continuous OWA (COWA) operator in the same formulation through considering various importance degrees of different concepts in the aggregation process. Simultaneously, the new operator can be employed to diminish uncertainty and lower the complexity of data processing. Furthermore, we discuss some desired properties and different special cases of the developed operator. Additionally, a method of group decision making (GDM) under interval number environment is proposed based on the POW-COWA operator. At last, a numerical example is presented to illustrate the proposed method.
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Metadata
Title
The probabilistic ordered weighted continuous OWA operator and its application in group decision making
Authors
Xi Liu
Bing Han
Huayou Chen
Ligang Zhou
Publication date
06-12-2017
Publisher
Springer Berlin Heidelberg
Published in
International Journal of Machine Learning and Cybernetics / Issue 4/2019
Print ISSN: 1868-8071
Electronic ISSN: 1868-808X
DOI
https://doi.org/10.1007/s13042-017-0752-y

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