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Year 2017, , 341 - 349, 30.06.2017
https://doi.org/10.17261/Pressacademia.2017.609

Abstract

References

  • Atanassov K.T. (1986), Intuitionistic Fuzzy Sets, Fuzzy Sets and Systems, 20, 87-96, Elsevier.
  • U.S. Department of Energy Energy Efficiency and Renewable Energy. (n.d.). The History of Solar.
  • Renewable Energy Policy Network for the 21st Century. (2015). Renewables 2015, Global Status Report. Paris. U.S. Department of Energy Energy Efficiency and Renewable Energy. (n.d.). The History of Solar.
  • Arvizu, D., Balaya , P., Luisa, C. F., Hollands, K. T., Jager-Walnau, A., Kondo, M., . . . Zilles, R. (2011). Special Report on Renewable Energy Resources and Climate Change Mitigation. Intergovernmental Panel on Climate Change. Cambridge University Press.
  • Barlev, D., Vidu, R., & Stroeve, P. (2011, May). Innovation in concentrated solar power. Solar Energy Materials & Solar Cells, 95, 2703-2725.
  • Wu, J., Huang, H.-B., and Cao,Q.-W. (2013). Research on AHP with interval-valued intuitionistic fuzzy sets and its application in multi-criteria decision making problems, Applied Mathematical Modelling, 37, 9898–9906.

INNOVATIVE SOLAR ENERGY TECHNOLOGY SELECTION USING INTIUTIONISTIC FUZZY SETS

Year 2017, , 341 - 349, 30.06.2017
https://doi.org/10.17261/Pressacademia.2017.609

Abstract

Solar energy technologies are mainly composed of
photovoltaics and concentrated solar power (solar thermal) technologies.
Photovoltaic technology converts sunlight into electricity directly whereas
solar thermal technology utilizes its heat. Innovative solar energy
technologies appear in the market relatively more often than other energy
technologies. Selection among these innovative solar energy technologies is a
multi-criteria decision making problem under uncertain environment conditions.
Intuitionistic fuzzy sets provide an efficient way of capturing uncertainty by
processing both membership and non-membership degrees in a set, whose sum of these
degrees is not necessarily equal to one. In this paper, we use an
interval-valued intuitionistic fuzzy AHP method for the multi-criteria
evaluation of some innovative solar energy technologies. An application of
solar energy technology selection is also presented through the proposed
method.



 

References

  • Atanassov K.T. (1986), Intuitionistic Fuzzy Sets, Fuzzy Sets and Systems, 20, 87-96, Elsevier.
  • U.S. Department of Energy Energy Efficiency and Renewable Energy. (n.d.). The History of Solar.
  • Renewable Energy Policy Network for the 21st Century. (2015). Renewables 2015, Global Status Report. Paris. U.S. Department of Energy Energy Efficiency and Renewable Energy. (n.d.). The History of Solar.
  • Arvizu, D., Balaya , P., Luisa, C. F., Hollands, K. T., Jager-Walnau, A., Kondo, M., . . . Zilles, R. (2011). Special Report on Renewable Energy Resources and Climate Change Mitigation. Intergovernmental Panel on Climate Change. Cambridge University Press.
  • Barlev, D., Vidu, R., & Stroeve, P. (2011, May). Innovation in concentrated solar power. Solar Energy Materials & Solar Cells, 95, 2703-2725.
  • Wu, J., Huang, H.-B., and Cao,Q.-W. (2013). Research on AHP with interval-valued intuitionistic fuzzy sets and its application in multi-criteria decision making problems, Applied Mathematical Modelling, 37, 9898–9906.
There are 6 citations in total.

Details

Journal Section Articles
Authors

Sezi Cevik Onar

Basar Oztaysi

Cengiz Kahraman

Publication Date June 30, 2017
Published in Issue Year 2017

Cite

APA Cevik Onar, S., Oztaysi, B., & Kahraman, C. (2017). INNOVATIVE SOLAR ENERGY TECHNOLOGY SELECTION USING INTIUTIONISTIC FUZZY SETS. PressAcademia Procedia, 5(1), 341-349. https://doi.org/10.17261/Pressacademia.2017.609
AMA Cevik Onar S, Oztaysi B, Kahraman C. INNOVATIVE SOLAR ENERGY TECHNOLOGY SELECTION USING INTIUTIONISTIC FUZZY SETS. PAP. June 2017;5(1):341-349. doi:10.17261/Pressacademia.2017.609
Chicago Cevik Onar, Sezi, Basar Oztaysi, and Cengiz Kahraman. “INNOVATIVE SOLAR ENERGY TECHNOLOGY SELECTION USING INTIUTIONISTIC FUZZY SETS”. PressAcademia Procedia 5, no. 1 (June 2017): 341-49. https://doi.org/10.17261/Pressacademia.2017.609.
EndNote Cevik Onar S, Oztaysi B, Kahraman C (June 1, 2017) INNOVATIVE SOLAR ENERGY TECHNOLOGY SELECTION USING INTIUTIONISTIC FUZZY SETS. PressAcademia Procedia 5 1 341–349.
IEEE S. Cevik Onar, B. Oztaysi, and C. Kahraman, “INNOVATIVE SOLAR ENERGY TECHNOLOGY SELECTION USING INTIUTIONISTIC FUZZY SETS”, PAP, vol. 5, no. 1, pp. 341–349, 2017, doi: 10.17261/Pressacademia.2017.609.
ISNAD Cevik Onar, Sezi et al. “INNOVATIVE SOLAR ENERGY TECHNOLOGY SELECTION USING INTIUTIONISTIC FUZZY SETS”. PressAcademia Procedia 5/1 (June 2017), 341-349. https://doi.org/10.17261/Pressacademia.2017.609.
JAMA Cevik Onar S, Oztaysi B, Kahraman C. INNOVATIVE SOLAR ENERGY TECHNOLOGY SELECTION USING INTIUTIONISTIC FUZZY SETS. PAP. 2017;5:341–349.
MLA Cevik Onar, Sezi et al. “INNOVATIVE SOLAR ENERGY TECHNOLOGY SELECTION USING INTIUTIONISTIC FUZZY SETS”. PressAcademia Procedia, vol. 5, no. 1, 2017, pp. 341-9, doi:10.17261/Pressacademia.2017.609.
Vancouver Cevik Onar S, Oztaysi B, Kahraman C. INNOVATIVE SOLAR ENERGY TECHNOLOGY SELECTION USING INTIUTIONISTIC FUZZY SETS. PAP. 2017;5(1):341-9.

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