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Carbon Emissions Trading as a Constraint in a Fuzzy Optimization Problem

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Fuzzy Information Processing 2020 (NAFIPS 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1337))

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Abstract

This work presents some climate changing policies and intends to model carbon emissions trading as a constraint in a fuzzy optimization problem. Bellman-Zadeh decision scheme is used within Zimmermann approach in order to estimate the gain in carbon markets notwithstanding to lost in entities welfare function, seen as the objective function.

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Acknowledgements

Pinto, N. J. B. thanks to CAPES for Financial support under grant no 1691227, Esmi, E. thanks FAPESP under grant no 2016/26040-7 and Barros, L. C. thanks CNPq under grant no 306546/2017-5.

Author information

Authors and Affiliations

  1. University of Campinas, Institute of Mathematics, Statistics and Scientific Computing, Campinas, São Paulo, Brazil

    Nilmara de Jesus Biscaia Pinto, Estevão Esmi & Laécio Carvalho de Barros

Authors
  1. Nilmara de Jesus Biscaia Pinto
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  2. Estevão Esmi
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  3. Laécio Carvalho de Barros
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Corresponding author

Correspondence to Nilmara de Jesus Biscaia Pinto .

Editor information

Editors and Affiliations

  1. Department of Mathematics, DigiPen Institute of Technology, Redmond, WA, USA

    Barnabás Bede

  2. Department of Computer Science, University of Texas at El Paso, El Paso, TX, USA

    Martine Ceberio

  3. School of Engineering and Technology, University of Washington, Tacoma, WA, USA

    Martine De Cock

  4. Department of Computer Science, University of Texas at El Paso, El Paso, TX, USA

    Vladik Kreinovich

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de Jesus Biscaia Pinto, N., Esmi, E., de Barros, L.C. (2022). Carbon Emissions Trading as a Constraint in a Fuzzy Optimization Problem. In: Bede, B., Ceberio, M., De Cock, M., Kreinovich, V. (eds) Fuzzy Information Processing 2020. NAFIPS 2020. Advances in Intelligent Systems and Computing, vol 1337. Springer, Cham. https://doi.org/10.1007/978-3-030-81561-5_18

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