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A study of the origin and uses of the ordered weighted geometric operator in multicriteria decision making
Author(s) -
Herrera F.,
HerreraViedma E.,
Chiclana F.
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.10106
Subject(s) - multiplicative function , operator (biology) , mathematics , reciprocity (cultural anthropology) , multiple criteria decision analysis , preference , consistency (knowledge bases) , group decision making , selection (genetic algorithm) , mathematical optimization , mathematical economics , discrete mathematics , computer science , statistics , artificial intelligence , mathematical analysis , psychology , social psychology , biochemistry , chemistry , repressor , political science , transcription factor , law , gene
The ordered weighted geometric (OWG) operator is an aggregation operator that is based on the ordered weighted averaging (OWA) operator and the geometric mean. Its application in multicriteria decision making (MCDM) under multiplicative preference relations has been presented. Some families of OWG operators have been defined. In this article, we present the origin of the OWG operator and we review its relationship to the OWA operator in MCDM models. We show a study of its use in multiplicative decision‐making models by providing the conditions under which reciprocity and consistency properties are maintained in the aggregation of multiplicative preference relations performed in the selection process. © 2003 Wiley Periodicals, Inc.