Affiliations: [a] Facultad de Contaduría y Ciencias Administrativas, Universidad Michoacana de San Nicolás de Hidalgo, Gral. Francisco J. Múgica S/N, 58030, Morelia, México | [b] School of Information, Systems and Modelling, University of Technology Sydney, Ultimo, NSW 2007, Australia
| [c] Departamento de Control de Gestión y Sistemas de Información, Universidad de Chile, Av. Diagonal Paraguay 257, 8330015, Santiago, Chile
| [d] Facultat d’Economia i Empresa, Universitat de Barcelona Avinguda Diagonal, 08034, Barcelona, España | [e] Facultad de Economía Vasco de Quiroga, Universidad Michoacana de San Nicolás de Hidalgo, Gral. Francisco J. Múgica S/N, 58030, Morelia, México
Correspondence:
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Corresponding author. Víctor G. Alfaro-García, Facultad de Contaduría y Ciencias Administrativas, Universidad Michoacana de San Nicolás de Hidalgo, Gral. Francisco J. Múgica S/N, 58030, Morelia, México. E-mail: [email protected].
Abstract: This paper presents the induced generalized ordered weighted logarithmic aggregation (IGOWLA) operator, this operator is an extension of the generalized ordered weighted logarithmic aggregation (GOWLA) operator. It uses order-induced variables that modify the reordering process of the arguments included in the aggregation. The principal advantage of the introduced induced mechanism is the consideration of highly complex attitude from the decision makers. We study some families of the IGOWLA operator as measures for the characterization of the weighting vector. This paper presents the general formulation of the operator and some special cases, including the induced ordered weighted logarithmic geometric averaging (IOWLGA) operator and the induced ordered weighted logarithmic aggregation (IOWLA). Further generalizations using quasi-arithmetic mean are also proposed. Finally, an illustrative example of a group decision-making procedure using a multi-person analysis and the IGOWLA operator in the area of innovation management is analyzed.
