Determine OWA operator weights using kernel density estimation
Some subjective methods should divide input values into local clusters before determining the ordered weighted averaging (OWA) operator weights based on the data distribution characteristics of input values. However, the process of clustering input values is complex. In this paper, a novel probabili...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2020-01-01
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| Series: | Ekonomska Istraživanja |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/1331677X.2020.1748509 |