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Volume 7, Issue 3, June 2014, Pages 595 - 604
Consistency and stability in aggregation operators: An application to missing data problems
Authors
D. Gómez, K. Rojas, J. Montero, J. T. Rodríguez, G. Beliakov
Corresponding Author
D. Gómez
Received 4 January 2013, Accepted 23 July 2013, Available Online 1 June 2014.
- DOI
- 10.1080/18756891.2013.859862How to use a DOI?
- Keywords
- Aggregation operators, stability, missing data, self-identity, fuzzy sets
- Abstract
In this work we analyze the key issue of the relationship that should hold between the operators in a family {} of aggregation operators in order to understand they properly define a whole. Here we extend some of the ideas about stability of a family of aggregation operators into a more general framework, formally defining the notions of and strict stability for families of aggregation operators. The notion of strict stability of order is introduced as well. Finally, we also present an application of the strict stability conditions to deal with missing data problems in an information aggregation process. For this analysis, we have focused in the weighted mean family and the quasi-arithmetic weighted means families.
- Copyright
- © 2017, 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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Cite this article
TY - JOUR AU - D. Gómez AU - K. Rojas AU - J. Montero AU - J. T. Rodríguez AU - G. Beliakov PY - 2014 DA - 2014/06/01 TI - Consistency and stability in aggregation operators: An application to missing data problems JO - International Journal of Computational Intelligence Systems SP - 595 EP - 604 VL - 7 IS - 3 SN - 1875-6883 UR - https://doi.org/10.1080/18756891.2013.859862 DO - 10.1080/18756891.2013.859862 ID - Gómez2014 ER -