Amb motiu del tancament d'estiu, la validació de documents es reprendrà a partir del 28 d'agost de 2026. Disculpeu les molèsties.
Con motivo del cierre de verano, la validación de documentos se reanudará a partir del 28 de agosto de 2026. Disculpad las molestias
Due to the summer closure, document validation will resume starting August 28, 2026. We apologize for any inconvenience.

Files

709328.pdf (696.96 KB)

Document type

Article

Version

Accepted version

Publication date

2020-09

All rights reserved

Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/175567

OWA operators in the calculation of the average green-house gases emissions

Journal Title

Authors

Director/Tutor

Journal ISSN

Volume Title

Related resource

https://doi.org/10.3233/JIFS-179635

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.

Subject

Desenvolupament sostenible, Logística industrial, Gasos d'efecte hivernacle, Lògica borrosa

Subject (English)

Sustainable development, Business logistics, Greenhouse gase, Fuzzy logic

Citation

Collections

Articles publicats en revistes (Empresa)

Citation

AMIRBAGHERI, Keivan, et al. OWA operators in the calculation of the average green-house gases emissions. Journal of Intelligent and Fuzzy Systems. 2020. Vol. 38, num. 5, pags. 5427-5439. ISSN 1064-1246. [consulted: 11 of August of 2026]. Available at: https://hdl.handle.net/2445/175567

Export metadata

JSON - METS

Share record