Uncertain Bonferroni Mean Operators

DOI

10.2991/ijcis.2010.3.6.7How to use a DOI?

Keywords

Bonferroni mean; interval number; multi-criteria decision making; ordered weighted averaging operator; Choquet integral.

Abstract

The Bonferroni mean is a traditional mean type aggregation operator bounded by the max and min operators, which is suitable to aggregate the crisp data. In this paper, we consider situations where the input data are interval numbers. We develop some uncertain Bonferroni mean operators, and then combine them with the well-known ordered weighted averaging operator and Choquet integral respectively for aggregating uncertain information. We also give their applications to multi-criteria decision making under uncertainty, and finally, some possible extensions for further research are discussed. Keywords: Bonferroni mean; interval number; multi-criteria decision making; ordered weighted averaging operator; Choquet integral.

Copyright

© 2010, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - JOUR
AU  - Zeshui Xu
PY  - 2010
DA  - 2010/12/01
TI  - Uncertain Bonferroni Mean Operators
JO  - International Journal of Computational Intelligence Systems
SP  - 761
EP  - 769
VL  - 3
IS  - 6
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.2010.3.6.7
DO  - 10.2991/ijcis.2010.3.6.7
ID  - Xu2010
ER  -