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Issue title: Special section: Fuzzy Systems in Management and Information Science
Guest editors: José M. Merigó, Salvador Linares-Mustaros and Joan Carles Ferrer-Comalat
Article type: Research Article
Authors: Amirbagheri, Keivana; d; * | Merigó, José M.b; c | Guitart-Tarrés, Laurad | Nuñez-Carballosa, Anad
Affiliations: [a] Department of Industrial Organization – Academic Area, Escola Universitària Salesiana de Sarrià, Paseo Sant Joan Bosco, Barcelona, Spain | [b] Department of Management Control and Information Systems, School of Economics and Business, University of Chile, Santiago, Chile | [c] School of Systems, Management and Leadership, Faculty of Engineering and Information Technology, University of Technology Sydney, NSW, Australia | [d] Department of Economics and Business, Faculty of Economics and Business, University of Barcelona, Barcelona, Spain
Correspondence: [*] Corresponding author. Keivan Amirbagheri, E-mail: [email protected].
Abstract: This study proposes, through weighted averages and ordered weighted averaging operators, a new aggregation system for the investigation of average gases emissions. We present the ordered weighted averaging operators gases emissions, the induced ordered weighted averaging operators gases emissions, the weighted ordered weighted averaging operators gases emissions and the induced probabilistic weighted ordered weighted averaging operators gases emissions. These operators represent a new way of analyzing the average gases emissions of different variables like countries or regions. The work presents further generalizations by using generalized and quasi-arithmetic means. The article also presents an illustrative example with respect to the calculations of the average gases emissions in the European region.
Keywords: Green-house gases emission, aggregation operators, decision making, ordered weighted average
DOI: 10.3233/JIFS-179635
Journal: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 5, pp. 5427-5439, 2020
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