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Majority additive–ordered weighting averaging: A new neat ordered weighting averaging operator based on the majority process
Author(s) -
Peláez J. I.,
Doña J. M.
Publication year - 2003
Publication title -
international journal of intelligent systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.291
H-Index - 87
eISSN - 1098-111X
pISSN - 0884-8173
DOI - 10.1002/int.10096
Subject(s) - weighting , cardinality (data modeling) , operator (biology) , aggregate (composite) , process (computing) , mathematics , computer science , algorithm , mathematical optimization , data mining , chemistry , materials science , medicine , biochemistry , repressor , transcription factor , gene , composite material , radiology , operating system
A problem that we had encountered in the aggregation process is how to aggregate the elements that have cardinality greater than one. The most common operators used in the aggregation process produce reasonable results, but, at the same time, when the items to aggregate have cardinality greater than one, they may produce distributed problems. The purpose of this article is to present a new neat ordered weighting averaging (OWA) operator that uses the cardinality of these elements to calculate their weights. © 2003 Wiley Periodicals, Inc.