Abstract
Building a sustainable development path in energy, supporting the transition to a low-carbon energy system, and promoting clean energy are among the critical components for sustainable energy and energy efficiency. Sustainable energy has particular importance in diversifying resources, meeting energy demand with greener options, and making better use of domestic resources to achieve flexible energy systems. This study aims to assess sustainable energy resources with Hesitant Fuzzy Linguistic (HFL) Multi-Criteria Decision Making (MCDM) methods. The Hesitant Fuzzy Linguistic Term Sets (HFLTS) approach is used to convey Decision Makers' (DMs') evaluations by addressing the effort of expressing concepts through crisp numbers and ambiguity. The weights of the assessment criteria are computed with the HFL Analytic Hierarchy Process (AHP) method, whereas the sustainable energy resources are evaluated with the updated form of HFL Multi-Objective Optimization on the basis of Ratio Analysis (MULTIMOORA) method. A case study for this evaluation problem is provided to illustrate the power of the proposed methodology. Finally, the application results are given, and future remarks are presented.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Jacobson, M.Z., Delucchi, M.A.: A path to sustainable energy by 2030. Sci. Am. 301(5), 58–65 (2009)
Paris Agreement: https://unfccc.int/process-and-meetings/the-paris-agreement/what-is-the-paris-agreement. Last accessed 2 Dec 2021
Sandalkhan, B., Bolukbasi, S., Selcuk, F.: Sürdürülebilir Gelecek icin Sürdürülebilir Enerji – Kısa ve Orta Vadeli Öneriler (Sustainable Energy for Sustainable Future – Short and Medium Term Recommendations). TUSIAD & BCG (2018)
Rodríguez, R.M., Martinez, L., Herrera, F.: Hesitant fuzzy linguistic term sets for decision making. IEEE Trans. Fuzzy Syst. 20(1), 109–119 (2012)
Büyüközkan, G., Karabulut, Y., Mukul, E.: A novel renewable energy selection model for United Nations’ sustainable development goals. Energy 165, 290–302 (2018)
Büyüközkan, G., Güler, M.: A combined hesitant fuzzy MCDM approach for supply chain analytics tool evaluation. Applied Soft Computing, 112 (2021)
Oberschmidt, J., Geldermann, J., Ludwig, J., Schmehl, M.: Modified PROMETHEE approach for assessing energy technologies. Int. J. Energy Sect. Manag. 4, 183–212 (2010)
Streimikiene, D., Balezentis, T., Krisciukaitienė, I., Balezentis, A.: Prioritizing sustainable electricity production technologies: MCDM approach. Renew. Sustain. Energy Rev. 16, 3302–3311 (2012)
Luthra, S., Kumar, S., Garg, D., Haleem, A.: Barriers to renewable/sustainable energy technologies adoption: Indian perspective. Renew. Sustain. Energy Rev. 41, 762–776 (2015)
Ghenai, C., Albawab, M., Bettayeb, M.: Sustainability indicators for renewable energy systems using multi-criteria decision-making model and extended SWARA/ARAS hybrid method. Renew. Energy 146, 580–597 (2020)
Nsafon, B.E.K., Butu, H.M., Owolabi, A.B., Roh, J.W., Suh, D., Huh, J.S.: Integrating multi-criteria analysis with PDCA cycle for sustainable energy planning in Africa: application to hybrid mini-grid system in Cameroon. Sustain. Energy Technol. Assess. 37, 100628 (2020)
Torra, V.: Hesitant fuzzy sets. Int. J. Intell. Syst. 25(6), 529–539 (2010)
Liu, H., Rodríguez, R.M.: A fuzzy envelope for hesitant fuzzy linguistic term set and its application to multicriteria decision making. Inf. Sci. 258, 220–238 (2014)
De Liu, P., Guan, Z.L.: Hybrid multiple attribute decision making method based on 2-tuple. Kongzhi Yu Juece/Control Decis. 24, 3716–3724 (2009)
Erdoğan, M., Kaya, İ: A combined fuzzy approach to determine the best region for a nuclear power plant in Turkey. Appl. Soft Comput. 39, 84–93 (2016). https://doi.org/10.1016/j.asoc.2015.11.013
Büyüközkan, G., Güleryüz, S.: Evaluation of renewable energy resources in Turkey using an integrated MCDM approach with linguistic interval fuzzy preference relations. Energy 123, 149–163 (2017)
Büyüközkan, G., Karabulut, Y., Güler, M.: Strategic renewable energy source selection for turkey with hesitant fuzzy MCDM method. In: Kahraman, C., Kayakutlu, G. (eds.) Energy Management—Collective and Computational Intelligence with Theory and Applications. SSDC, vol. 149, pp. 229–250. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-75690-5_11
WEC Energy Group: Pathway to a Clean Energy Future (2022)
Büyüközkan, G., Güleryüz, S.: A new GDM based AHP framework with linguistic interval fuzzy preference relations for renewable energy planning. J. Intell. Fuzzy Syst. 27(6), 3181–3195 (2014)
Acknowledgments
The authors gratefully acknowledge the assistance of industry professionals. This work has been supported by the Scientific Research Projects Commission of Galatasaray University under grant number FOA-2021–1059 and FOA-2023–1181.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Mukul, E., Güler, M., Büyüközkan, G. (2023). Assessment of Sustainable Energy Resources with Hesitant Fuzzy Linguistic AHP-MULTIMOORA Methods. In: Kahraman, C., Sari, I.U., Oztaysi, B., Cebi, S., Cevik Onar, S., Tolga, A.Ç. (eds) Intelligent and Fuzzy Systems. INFUS 2023. Lecture Notes in Networks and Systems, vol 759. Springer, Cham. https://doi.org/10.1007/978-3-031-39777-6_35
Download citation
DOI: https://doi.org/10.1007/978-3-031-39777-6_35
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-39776-9
Online ISBN: 978-3-031-39777-6
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)