Skip to main content
SpringerLink
Log in
Book cover

Energy Management—Collective and Computational Intelligence with Theory and Applications pp 277–314Cite as

Fuzzy MCDM Methods in Sustainable and Renewable Energy Alternative Selection: Fuzzy VIKOR and Fuzzy TODIM

  • Chapter
  • First Online:

Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 149))

Abstract

In recent years, there has been a remarkable trend toward sustainable and renewable energy sources due to environmental problems and depletion of fossil energy sources. Authorities encourage energy investors to tend this field and consequently many investors develop an energy planning for next decades based on renewable energy sources. At this stage, it is a crucial step to choose energy type and develop a strategic plan based on it. In this study, we aimed to find out the best performing sustainable and/or renewable energy alternative and thus guide decision makers on energy investments. We evaluated four energy power plant types, which are solar, wind, hydroelectric and landfilled gas (LFG). Multi-criteria decision making (MCDM) methods are very appropriate for the evaluation of the renewable energy alternatives, with many factors to consider. We conducted a real life case study with two different MCDM methods; VIKOR and TODIM, and compared their results. In order to cope with vagueness and uncertainty in this evaluation process, we integrated fuzzy sets into both methods. Finally, we presented a sensitivity analysis to see how robust decisions we obtained.

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  • Abdel-Kader, M.G., & Dugdale, D. (2001). Evaluating investments in advanced manufacturing technology: a fuzzy set theory approach, The British Accounting Review, 33, 455–489.

    Google Scholar 

  • Abdullah, L., & Najib, L. (2014). Sustainable energy planning decision using the intuitionistic fuzzy analytic hierarchy process: Choosing energy technology in Malaysia. International Journal of Sustainable Energy, 35(4), 360–377.

    Article  Google Scholar 

  • Afgan, N., & Carvalho, M. (2001). Multi-criteria assessment of new and renewable energy power plants. Energy, 27, 739–755.

    Article  Google Scholar 

  • Al Garni, H., Kassem, A., Awasthi, A., Komljenovic, D., & Al-Haddad, K. (2016). A MCDM approach for evaluating renewable power generation sources in Saudi Arabia. Sustainable Energy Technologies and Assessments, 16, 137–150.

    Article  Google Scholar 

  • Anadolu ajansı. (2017). Çöpten 400 bin konutun elektriği çıkıyor. URL: www.dunya.com.

  • Asemi, A., Baba, M., Asemi, A., Rukaini, B. H. A., & Idris, N. (2014). Fuzzy multi criteria decision making applications: A review study.

    Google Scholar 

  • Beccali, M., Cellura, M., & Mistretta, M. (2003). Decision-making in energy planning. Application of the electre method at regional level for the diffusion of renewable energy technology. Renewable Energy, 28(13), 2063–2087.

    Article  Google Scholar 

  • Büyüközkan, G., & Güleryüz, S. (2017). Evaluation of renewable energy resources in Turkey using an integrated MCDM approach with linguistic interval fuzzy preference relations. Energy, 123, 149–163.

    Article  Google Scholar 

  • Cavallora, F., & Ciarolo, L. (2005). A multicritera approach to evaluate wind energy plants on an Italian island. Energy Policy, 33, 235–244.

    Article  Google Scholar 

  • Chang, T. H. (2014). Fuzzy VIKOR method: A case study of the hospital service evaluation in Taiwan. Information Sciences, 271, 2–196.

    Article  Google Scholar 

  • Chen, S. J., Hwang, C. L., & Hwang, F. P. (1992). Fuzzy multiple attribute decision making methods and applications (pp. 88–89). Berlin: Springer.

    Book  MATH  Google Scholar 

  • Dermencioğlu, M. (2017). Yerli güneş paneli hücresiyle maliyeti düşürecek. URL: http://aa.com.tr/tr/bilim-teknoloji/yerli-gunes-paneli-hucresiyle-maliyetidusurecek/770874.

  • DSİ. (2013). Türkiye’nin Hidrolik Potansiyeli, A., Baba, M., Asemi, A., Rukaini, B. H. A., Idris, N. Fuzzy Multi Criteria Decision Making Applications: A Review Study (2014) www.dsi.gov.tr.

  • Gao, S., Zhang, Z., & Cao, C. (2009). Multiplication operation on fuzzy numbers. Journal Of Software, 4(4), 331–338.

    Article  Google Scholar 

  • GAP Bölge Kalkınma İdaresi Başkanlığı. GAP Nedir? URL: www.gap.gov.tr.

  • Global Wind Energy Council. (2017a). URL: http://www.gwec.net/global-figures/wind-in-numbers/.

  • Global Wind Energy Council. (2017b). URL: http://www.gwec.net/global-figures/graphs/.

  • Gomes, L. F. A. M. & Lima, M. M. P. P. (1992). TODIM: basics and application to multicriteria ranking of projects with environmental impacts, Foundations of Computing and Decision Sciences, 16, 113–127.

    Google Scholar 

  • Hanine, M., Boutkhoum, O., Tikniouine, A., & Agouti, T. (2016). Comparison of fuzzy AHP and fuzzy TODIM methods for land fill location selection. SpringerPlus, 5, 1–30. https://doi.org/10.1016/j.rser.2017.07.013.

    Article  Google Scholar 

  • Hwang, C. L., & Yoon, K. (1981). Multiple attribute decision making: methods and applications. New York: Springer.

    Book  MATH  Google Scholar 

  • Iniyan, S., & Sumathy, K. (1998). An optimal renewable energy model for various end-uses. Energy, 25, 563–575.

    Article  Google Scholar 

  • Kahneman, D., & Tversky, A. (1979). Prospect theory: An Analysis of decision under risk. Econometrica, 47(2), 263–291.

    Article  MATH  Google Scholar 

  • Kahraman, C., Çevik, S., & Öztaysi, B. (2015). Fuzzy Multicriteria Decision Making: A literature review. International Journal of Computational Intelligence Systems, 8(4), 637–666. https://doi.org/10.1080/18756891.2015.1046325.

  • Kaya, T., & Kahraman, C. (2010a). Multicriteria renewable energy planning using an integrated fuzzy VIKOR & AHP methodology: The case of Istanbul. Energy, 35(6), 2517.

    Article  Google Scholar 

  • Kaya, İ., & Kahraman, C. (2010b). A fuzzy multicriteria methodology for selection among energy alternatives. Expert Systems with Applications, 37(9), 6270–6281.

    Article  Google Scholar 

  • Kaya, T., & Kahraman, C. (2011). Multicriteria decision making in energy planning using a modified fuzzy TOPSIS methodology. Expert Systems with Applications, 38(6), 6577–6585.

    Article  Google Scholar 

  • Krohling, R. A., & Souza, T. T. M. (2012). Combining prospect theory and fuzzy numbers to multi-criteria decision making. Expert Systems with Applications, 39, 11487–11493.

    Article  Google Scholar 

  • Mardani, A., Zavadskas, E. K., Govindan, K., Senin, A. A., & Jusoh, A. (2016). VIKOR technique: A systematic review of the state of the art literature on methodologies and applications. Sustainability, 8, 1–38.

    Article  Google Scholar 

  • Mirasgedis, S., & Diakoulaki, D. (1997). Multicriteria analysis vs. externalities assessment for the comparative evaluation of electricity generation systems. European Journal of Operational Research, 102(2), 364–379.

    Article  MATH  Google Scholar 

  • Myers, Joe. (2015). 5 expert predictions on how warm the world will get. World Economic Forum. https://www.weforum.org/agenda/2015/12/5-expert-predictions-on-howwarm-the-world-will-get/.

  • Nobre, F. F., Trotta, L. T. F., & Gomes, L. F. A. M. (1999). Multi-criteria decision making—An approach to setting priorities in health care. Statistics in Medicine, 18(23), 3345–3354.

    Article  Google Scholar 

  • Opricovic, S. (2011). Fuzzy VIKOR with an application to water resources planning. Expert System with Applications, 38(10), 12983–12990.

    Article  Google Scholar 

  • Opricovic, S., & Tzeng, G. H. (2004). Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS. European Journal of Operational Research, 156(2), 445–455.

    Article  MATH  Google Scholar 

  • Opricovic, S., & Tzeng, G. H. (2007). Extended VIKOR method in comparison with outranking methods. European Journal of Operational Research, 178(2), 514–529.

    Article  MATH  Google Scholar 

  • Paris Agreement. European Commission, URL: http://ec.europa.eu/clima/policies/international/negotiations/paris_en.

  • Qin, Q., Liang, F., Chen, Y. W., & Yu, G. F. (2017). A TODIM-based multi-criteria group decision making with triangular intuitionistic fuzzy numbers. Applied Soft Computing, 55, 93–107.

    Article  Google Scholar 

  • Rajaram, V., Siddiqui, F. Z., & Khan. M. E. (2012). From Landfill Gas to Energy Technologies and Challenges. URL: https://books.google.com.tr/books?id=finMBQAAQBAJ&printsec=frontcover&hl=tr#v=onepage&q&f=false.

  • Rangel, L., Gomes, L., & Cardoso, F. (2011). An Application of the TODIM method to the evaluation of broadband internet plans. Pesquisa Operacional, 31(2), 235–249.

    Google Scholar 

  • Rüzgar Enerjisi Çalışmaları, Yenilenebilir Enerji Genel Müdürlüğü, URL: http://www.eie.gov.tr/eie-web/turkce/YEK/ruzgar/ruzgar_en_hak.html.

  • Renewable Energy Policy Network. (2016). Global status report. URL: http://www.ren21.net/wp-content/uploads/2016/06/GSR_2016_Full_Report.pdf.

  • San Cristobal, J. R. (2011). Multicriteria decision making in the selection of a renewable energy project in Spain: The Vikor method. Renewable Energy, 36(2), 498–502.

    Article  Google Scholar 

  • Sellak, H., Ouhbi, B., Frikh, B., & Palommares, I. (2017). Towards next-generation energy planning decision-making: An expert based framework for intelligent decision support. Renewable and Sustainable Energy Reviews, 80, 1544–1577. https://doi.org/10.1016/j.rser.2017.07.013.

    Article  Google Scholar 

  • Sen, D. K., Datta, S., Patel, S. K., & Mahapatra, S. S. (2016). Fuzzy-TODIM for industrial robot selection. In: International Conference on Emerging Trends in Mechanical Engineering. pp. 1–8.

    Google Scholar 

  • Şengül, Ü., Eren, M., Shiraz, S. E., Gezder, V., & Şengül, A. B. (2015). Fuzzy TOPSIS method for ranking renewable energy supply systems in Turkey. Renewable Energy, 75, 617–625.

    Article  Google Scholar 

  • Shirgholami, Z., Zangeneh, A. N., & Bortolini, M. (2016). Decision system to support the practitioners in the wind farm design: A case study for Iran mainland. Sustainable Energy Technologies and Assessments, 16, 1–10.

    Article  Google Scholar 

  • Şimşek, C. (2014). Avrupa’nın en büyük çöp biyogaz tesisi İstanbul’da. URL: www.enerjienstitusu.com.

  • Şimşek, C. (2017). Türkiye potansiyelinin 25’te birini kullanıyor. URL: http://enerjienstitusu.com/2017/03/02/turkiye-ruzgar-enerji-potansiyelinde-25te-birini-kullaniyor/.

  • Streimikiene, D., Balezentis, T., Krisciukaitiene, I., & Balezentis, A. (2012). Prioritizing sustainable electricity production technologies: MCDM approach. Renewable and Sustainable Energy Reviews, 16(5), 3302–3311.

    Article  Google Scholar 

  • Streimikiene, D., Sliogeriene, J., & Turskis, J. (2016). Multi-criteria analysis of electricity generation technologies in Lithuania. Renewable Energy, 85, 148–156.

    Article  Google Scholar 

  • Tasri, A., & Susilawati, A. (2014). Selection among renewable energy alternatives based on a fuzzy analytic hierarchy process in Indonesia. Sustainable Energy Technologies and Assessments, 7, 34–44.

    Article  Google Scholar 

  • Tosun, Ö., & Akyüz, G. (2015). A fuzzy TODIM approach for the supplier selection problem. International Journal of Computational Intelligent Systems, 8(2), 317–329.

    Article  Google Scholar 

  • Tsai, K., & Chou, F. (2011). Developing a fuzzy multiattribute matching and negotiation mechanism for sealed—bid online reverse auctions. Journal of Theoretical and Applied Electronic Commerce Research, 6(3), 85–96.

    Article  Google Scholar 

  • Vagiona, D. G., & Karanikolas, N. M. (2012). A multicriteria approach to evaluate offshore wind farms siting In Greece. Global NEST Journal, 14(2), 235–243.

    Google Scholar 

  • Xiao, Z. and Zhi-ping, F. (2011). A method for linguistic multiple attribute decision making based on TODIM. International Conference on Management and Service Science. (pp. 1–4).

    Google Scholar 

  • Yazdani, M., & Graeml, F. (2014). VIKOR and its applications: A state of the art survey. International Journal of Strategic Decision Sciences, 5(2), 56–83.

    Article  Google Scholar 

  • YEGM. (2017). Güneş Enerjisi Potansiyeli Atlası. URL: http://www.eie.gov.tr/MyCalculator/Default.aspx.

  • YEGM. (2017). Türkiye’ nin hidroelektrik potansiyeli. URL: http://www.eie.gov.tr/yenilenebilir/h_turkiye_potansiyel.aspx.

  • Yıldırım, G. (2015). Türkiye’nin ilk deniz üstü rüzgar gülü çiftliği projesine 2016 yılında başlanacak. URL: http://enerjienstitusu.com/2015/12/25/turkiyenin-ilk-deniz-ustu-ruzgar-gulu-ciftligi-projesine-2016-yilinda-baslanacak/.

  • Yıldırım, L., Ata, G., Taşkın, O., & Lale, T. (2014). Sera Gazı Salınımları ve Türkiye’ de Yapılan Çalışmalar. Su Dünyası, Vol. 135 URL: http://www2.dsi.gov.tr/sudunyasi/135/index.htmlKahraman.

  • Zadeh, L. A. (1965). Fuzzy Sets. Information and Control, 8, 338–353.

    Google Scholar 

  • Zerpa, J. C. R., & Yusta, J. M. (2015). Application of multicriteria decision methods for electric supply planning in rural and remote areas. Renewable and Sustainable Energy Reviews, 52, 557–571.

    Article  Google Scholar 

  • Zhang, L., Zhou, P., Newton, S., Fang, J., Zhou, D., & Zhang, L. P. (2015). Evaluating clean energy alternatives for Jiangsu, China: An improved multi-criteria decision making method. Energy, 90, 953–964.

    Article  Google Scholar 

  • Zhao, H., & Guo, S. (2015). External benefit evaluation of renewable energy power in China for sustainability. Sustainability, 7(5), 4783–4805.

    Article  Google Scholar 

  • Zimmerman, H. J. (2010). Fuzzy set theory, WIREs. Computational Statistics, 2, 317–332.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Galatasaray University, Istanbul, Turkey

    Zeynep Kezban Turgut & Abdullah Çağrı Tolga

Authors
  1. Zeynep Kezban Turgut
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Abdullah Çağrı Tolga
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Abdullah Çağrı Tolga .

Editor information

Editors and Affiliations

  1. Department of Industrial Engineering, Istanbul Technical University, Istanbul, Turkey

    Cengiz Kahraman

  2. Energy Institute, Istanbul Technical University, Istanbul, Turkey

    Gülgün Kayakutlu

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG, part of Springer Nature

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Turgut, Z.K., Tolga, A.Ç. (2018). Fuzzy MCDM Methods in Sustainable and Renewable Energy Alternative Selection: Fuzzy VIKOR and Fuzzy TODIM. In: Kahraman, C., Kayakutlu, G. (eds) Energy Management—Collective and Computational Intelligence with Theory and Applications. Studies in Systems, Decision and Control, vol 149. Springer, Cham. https://doi.org/10.1007/978-3-319-75690-5_13

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-75690-5_13

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-75689-9

  • Online ISBN: 978-3-319-75690-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation