Searching for just a few words should be enough to get started. If you need to make more complex queries, use the tips below to guide you.
Issue title: Fuzzy systems and applications in innovation and sustainability
Guest editors: Ernesto Leon-Castro, Fabio Blanco-Mesa, Victor Alfaro-Garcia, Anna M. Gil-Lafuente and Jose M. Merigo
Article type: Research Article
Authors: Alfaro-García, Víctor G.a; * | Merigó, José M.b; c | Gil-Lafuente, Anna M.d | Monge, Rodrigo Gómeze
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: [*] 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.
Keywords: OWA operator, logarithmic aggregation operators, induced aggregation operators, group decision making, innovation management
DOI: 10.3233/JIFS-189183
Journal: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 1761-1772, 2021
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
USA
Tel: +1 703 830 6300
Fax: +1 703 830 2300
[email protected]
For editorial issues, like the status of your submitted paper or proposals, write to [email protected]
IOS Press
Nieuwe Hemweg 6B
1013 BG Amsterdam
The Netherlands
Tel: +31 20 688 3355
Fax: +31 20 687 0091
[email protected]
For editorial issues, permissions, book requests, submissions and proceedings, contact the Amsterdam office [email protected]
Inspirees International (China Office)
Ciyunsi Beili 207(CapitaLand), Bld 1, 7-901
100025, Beijing
China
Free service line: 400 661 8717
Fax: +86 10 8446 7947
[email protected]
For editorial issues, like the status of your submitted paper or proposals, write to [email protected]
如果您在出版方面需要帮助或有任何建, 件至: [email protected]