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An overview of operators for aggregating information
Author(s) -
Xu Z. S.,
Da Q. L.
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.10127
Subject(s) - operator (biology) , information aggregation , computer science , weighted arithmetic mean , work (physics) , mathematics , algebra over a field , algorithm , data mining , pure mathematics , machine learning , mechanical engineering , biochemistry , chemistry , repressor , transcription factor , engineering , gene
In this work, we first make a survey of the existing main aggregation operators and then propose some new aggregation operators such as the induced ordered weighted geometric averaging (IOWGA) operator, generalized induced ordered weighted averaging (GIOWA) operator, hybrid weighted averaging (HWA) operator, etc., and study their desirable properties. Finally, we briefly classify all of these aggregation operators. © 2003 Wiley Periodicals, Inc.