Stability of weighted penalty-based aggregation functions

  • Authors:
  • Gleb Beliakov;Simon James

  • Affiliations:
  • Deakin University, School of Information Technology, 221 Burwood Hwy, Burwood, Victoria 3125, Australia;Deakin University, School of Information Technology, 221 Burwood Hwy, Burwood, Victoria 3125, Australia

  • Venue:
  • Fuzzy Sets and Systems
  • Year:
  • 2013

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Abstract

In many practical applications, the need arises to aggregate data of varying dimension. Following from the self-identity property, some recent studies have looked at the stability of aggregation operators in terms of their behavior as the dimensionality is increased from n-1 to n. We use the penalty-based representation of aggregation functions in order to investigate the conditions for weighting vectors associated with some important weighted families, extending on the results already established for quasi-arithmetic means. In particular, we obtain results for quasi-medians and functions that involve a reordering of the inputs such as the OWA and order statistics.