Bonferroni distances with OWA operators
F Blanco-Mesa…�- 2016 Annual Conference of�…, 2016 - ieeexplore.ieee.org
F Blanco-Mesa, JM Merigo-Lindahl
2016 Annual Conference of the North American Fuzzy Information�…, 2016•ieeexplore.ieee.orgThe aim of the paper is to develop new aggregation operators using Bonferroni means,
ordered weighted averaging (OWA) operators and some distance measures. We introduce
the Bonferroni-Hamming weighted distance, Bonferroni OWA distance, and Bonferroni
distances with OWA operators and weighted averages. The main advantages of using these
operators are that they allow considering different aggregations contexts, multiple-
comparison between each argument and distance measures in the same formulation.
ordered weighted averaging (OWA) operators and some distance measures. We introduce
the Bonferroni-Hamming weighted distance, Bonferroni OWA distance, and Bonferroni
distances with OWA operators and weighted averages. The main advantages of using these
operators are that they allow considering different aggregations contexts, multiple-
comparison between each argument and distance measures in the same formulation.
The aim of the paper is to develop new aggregation operators using Bonferroni means, ordered weighted averaging (OWA) operators and some distance measures. We introduce the Bonferroni-Hamming weighted distance, Bonferroni OWA distance, and Bonferroni distances with OWA operators and weighted averages. The main advantages of using these operators are that they allow considering different aggregations contexts, multiple-comparison between each argument and distance measures in the same formulation.
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