Abstract
The rapid and uncontrolled growth of the world's population technological developments, increase in the social welfare and the transformation of societies into consumer societies have changed the dimensions of environmental problems. Nowadays waste management has become an important issue for the solution of environmental problems. Hence, we discussed the municipal solid waste management. Municipal solid waste management problem is a complex and it has many different aspects as political, social, technological and economical criteria have to consider. The evaluation of these criteria numerically is complicated and vague. This paper deals with this complexity by proposed methodology. Also the contribution of the article to the literature is that the proposed methodology is applied for the first time in municipal solid waste management problems. In this paper, two fuzzy decision making approaches are combined for sitting a waste to energy plant in the Kırıkkale in Turkey. Four alternative locations and nine criteria are defined from the expert opinions and the literature survey. A new hybrid methodology that has not been applied before for this decision problem is proposed. In proposed methodology, there are two main stages. Criteria weights determination is the first stage, and ranking of the alternative locations is the second stage of the methodology. In first stage, Interval type 2 Fuzzy Analytic Hierarchy process method is performed and in the second stage hesitant fuzzy technique for order preference by similarity to an ideal solution method is used for ranking the alternative locations. Also decision makers have different experience level and knowledge about the problem and different decision makers’ weights are considered for group decision making. Two fuzzy methods are combined for the solid waste energy production plant location selection problem. As a result of the study, the second alternative (Bahsılı-Bedesten) is determined as the most suitable area for waste to energy production plant. Besides, with scenario analysis the effect of criteria on ranking of the alternatives is analyzed.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Abdel-shafy I, Mansour SMM (2018) Solid waste issue, sources, composition, disposal, recycling, and valorization. Egypt J Pet 27:1275–1290. https://doi.org/10.1016/j.ejpe.2018.07.003
Abdullah L, Zulkifli N, Liao H, Herrera-Viedma E, Al-Barakati A (2019) An interval-valued intuitionistic fuzzy DEMATEL method combined with Choquet integral for sustainable solid waste management. Eng Appl Artif Intell 82:207–215. https://doi.org/10.1016/j.engappai.2019.04.005
Achillas C, Moussiopoulos N, Karagiannidis A, Banias G, Perkoulidis G (2013) The use of multi-criteria decision analysis to tackle waste management problems: a literature review. Waste Manag Res 31(2):115–129. https://doi.org/10.1177/0734242X12470203
Arıkan E, Simsit- Kalender ZT, Vayvay O (2018) Solid waste disposal methodology selection using multi-criteriadecision making methods and an application in Turkey. J Clean Prod 142(1):403–412. https://doi.org/10.1016/j.jclepro.2015.10.054
Azadeh A, Ahmadzadeh K, Eslami H (2018) Location optimization of municipal solid waste considering health, safety, environmental, and economic factors. J Environ Plan Manag. https://doi.org/10.1080/09640568.2018.1482200
Balin A, Baraçli H (2017) A fuzzy multi-criteria decision making methodology based upon the interval type-2 fuzzy sets for evaluating renewable energy alternatives in Turkey. Technol Econ Dev Econ 23:742–763. https://doi.org/10.3846/20294913.2015.1056276
Bilgilioglu S, Gezgin C, Orhan O et al (2021) A GIS-based multi-criteria decision-making method for the selection of potential municipal solid waste disposal sites in Mersin, Turkey. Environ Sci Pollut Res. https://doi.org/10.1007/s11356-021-15859-2
Buckley JJ (1985) Fuzzy hierarchical analysis. Fuzzy Sets Syst 17:233–247. https://doi.org/10.1016/0165-0114(85)90090-9
Cebi S, Ilbahar E, Kahraman C (2020) An intuitionistic fuzzy axiomatic design approach for the evaluation of solid waste disposal methods. In: Kahraman C, Cebi S, Cevik Onar S, Oztaysi B, Tolga A, Sari I (eds) Intelligent and fuzzy techniques in big data analytics and decision making. INFUS 2019. Advances in intelligent systems and computing, vol 1029
Çebi F, Otay İ (2015) Multi-criteria and multi-stage facility location selection under interval type-2 fuzzy environment: a case study for a cement factory. Int J Comput Intell Syst 8(2):330–344. https://doi.org/10.1080/18756891.2015.1001956
Chen SJ, Hwang CL, Hwang FP (1992) Fuzzy multiple attribute decision making: methods and applications, vol 375. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-46768-4
Coban A, Ertis IF, Cavdaroglu NA (2018) Municipal solid waste management via multi-criteria decision making methods: a case study in Istanbul, Turkey. J Clean Product 180:159–167. https://doi.org/10.1016/j.jclepro.2018.01.130
Danesh G, Monavar SM, Omrani GA, Karbasi A, Farsad F (2019) Compilation of a model for hazardous waste disposal site selection using GIS-based multi-purpose decision-making. Models Environ Monit Assess 191:122. https://doi.org/10.1007/s10661-019-7243-4
Ekmekçioğlu M, Kaya T, Kahraman C (2010) Fuzzy multicriteria disposal method and site selection for municipal solid waste. Waste Manag 30:1729–1736
Erkut E, Karagiannidis A, Perkoulidis G, Tjandra AS (2008) Multicriteria facility location model for municipal solid waste management in North Greece. Eur J Oper Res 187:1402–1421. https://doi.org/10.1016/j.ejor.2006.09.021
Goulart Coelho LM, Lange LC, Coelho HM (2017) Multi-criteria decision making to support waste management: a critical review of current practices and methods. Waste Manag Res 35(1):3–28. https://doi.org/10.1177/0734242X16664024
Hassaan MA (2015) A gis-based suitability analysis for siting a solid waste incineration power plant in an urban area case study: Alexandria governorate. Egypt J Geogr Inf Syst 7:643–657. https://doi.org/10.4236/jgis.2015.76052
Hwang CL, Yoon K (1981) Multiple attribute decision making, methods and applications. Lecture notes in economics and mathematical systems, vol 186. Springer-Verlag, Now York
Jovanovic S, Savic S, Jovicic NBG, Djordjevic Z (2016) Using multi-criteria decision making for selection of the optimal strategy for municipal solid waste management. Waste Manag Res 34(9):884–895. https://doi.org/10.1177/0734242X16654753
Kahraman C, Ghorabaee MK, Zavadskas EK, Onar SC, Yazdani M, Oztaysi B (2017) Intuitionistic fuzzy EDAS method: an application to solid waste disposal site selection. J Environ Eng Landsc Manag 25(1):1–12. https://doi.org/10.3846/16486897.2017.1281139
Kahraman C, Sari IU, Turanoglu E (2012) Fuzzy analytic hierarchy process with type-2 fuzzy sets. In: Proceedings of the 19th ınternational FLINS conference 26–29 August, 2012, pp 201–206
Kamdar I, Ali S, Bennui A, Techato K, Jutidamrongphan W (2019) Municipal solid waste landfill siting using an integrated GIS-AHP approach: a case study from Songkhla, Thailand. Resour Conserv Recycl 149:220–235. https://doi.org/10.1016/j.resconrec.2019.05.027
Kharat MG, Murthy S, Kamble SJ, Raut RD, Kamble SS, Kharat MG (2019) Fuzzy multi-criteria decision analysis for environmentally conscious solid waste treatment and disposal technology selection. Technol Soc 57:20–29. https://doi.org/10.1016/j.techsoc.2018.12.005
Khutsishvili I, Sirbiladze G, Tsulaia G (2015) Hesitant fuzzy MADM approach in optimal selection of investment projects. EPiC Ser Comput Sci 36:151–162
Kyriakis E, Psomopoulos C, Kokkotis P, Bourtsalas A, Themelis N (2018) A step by step selection method for the location and the size of a waste-to-energy facility targeting themaximum output energy and minimization of gate fee. Environ Sci Pollut Res 27:26715–26724. https://doi.org/10.1007/s11356-017-9488-1
Mallick J (2021) Municipal solid waste landfill site selection based on fuzzy-AHP and geoinformation techniques in Asir Region Saudi Arabia. Sustainability 13(3):1538
Mendel JM, John RI, Liu FL (2006) Interval type-2 fuzzy logical systems made simple. IEEE Trans Fuzzy Syst 14(6):808–821. https://doi.org/10.1109/TFUZZ.2006.879986
Moeinaddini M, Khorasani N, Danehkar A, Darvishsefat AA, Zienalyan M (2010) Siting MSW landfill using weighted linear combination and analytical hierarchy process (AHP) methodology in GIS environment (case study: Karaj). Waste Manag 30:912–920. https://doi.org/10.1016/j.wasman.2010.01.015
Onar SC, Oztaysi B, Kahraman C (2014) Strategic decision selection using hesitant fuzzy TOPSIS and interval type-2 fuzzy AHP: a case study. Int J Comput Intell Syst 7(5):1002–1021. https://doi.org/10.1080/18756891.2014.964011
Perkoulidis G, Papageorgiou A, Karagiannidis A et al (2010) Integrated assessment of a new waste-to-energy facility in central Greece in the context of regional perspectives. Waste Manag 30:1395–1406
Phonphoton N, Pharino C (2019) Multi-criteria decision analysis to mitigate the impact of municipal solid waste management services during floods. Resour Conserv Recycl 146:106–113. https://doi.org/10.1016/j.resconrec.2019.03.044
Roberti F, Oberegger UF, Lucchi E, Troi A (2017) Energy retrofit and conservation of a historic building using multi-objective optimization and an analytic hierarchy process. Energy Build 138:1–10. https://doi.org/10.1016/j.enbuild.2016.12.028
Rodriguez RM, Martinez L, Torra V, Xu ZS, Herrera F (2014) Hesitant fuzzy sets: state of the art and future directions. Int J Intell Syst 29(6):495–524. https://doi.org/10.1002/int.21654
Saaty TL (1980) The analytic hierarchy process. McGraw Hill International, New York
Sadef Y, Nizami AS, Batool SA, Chaudary MN, Ouda OKM, Asam ZZ, Habib K, Rehan M, Demirbas A (2016) Waste-to-energy and recycling value for developing integrated solid waste management plan in Lahore. Energy Sources Part B Econ Plan Polıcy 11(7):569–579. https://doi.org/10.1080/15567249.2015.1052595
Santibañez-Aguilar JE, Ponce-Ortega JM, González-Campos JB et al (2013) Optimal planning for the sustainable utilization of municipal solid waste. Waste Manag 33:2607–2622
Sisay G, Gebre SL, Getahun K (2020) GIS-based potential landfill site selection using MCDM-AHP modeling of Gondar town. Ethiop Afr Geogr Rev 40(2):105–124. https://doi.org/10.1080/19376812.2020.1770105
Tavares G, Zsigraiová Z, Semiao V (2011) Multi-criteria GIS-based siting of an incineration plant for municipal solid waste. Waste Manag 31:1960–1972. https://doi.org/10.1016/j.wasman.2011.04.013
Topaloglu M, Yarkin F, Kaya T (2018) Solid waste collection system selection for smart cities based on a type-2 fuzzy multi-criteria decision technique. Soft Comput 22:4879. https://doi.org/10.1007/s00500-018-3232-8
Torra V (2010) Hesitant fuzzy sets. Int J Intell Syst 25:529–539. https://doi.org/10.1002/int.20418
Vucijak B, Kurtagic S, Silajdzic I (2016) Multicriteria decision making in selecting best solid waste management scenario: a municipal case study from Bosnia and Herzegovina. J Clean Prod 130:166–174. https://doi.org/10.1016/j.jclepro.2015.11.030
Wang Z, Ren J, Goodsite ME, Xu G (2018a) Waste-to-energy, municipal solid waste treatment, and best available technology: Comprehensive evaluation by an interval-valued fuzzy multi-criteria decision making method. J Clean Prod 172:887–899. https://doi.org/10.1016/j.jclepro.2017.10.184
Wang CN, Nguyen VT, Duong DH, Thai HTN (2018b) A hybrid fuzzy analysis network process (FANP) and the technique for order of preference by similarity to ideal solution (TOPSIS) approaches for solid waste to energy plant location selection in Vietnam. Appl Sci 8:1100. https://doi.org/10.3390/app8071100
Wheeler J, Caballero JA, Ruiz-Femenia R, Guillén-Gosálbez G, Melea FD (2017) MINLP-based analytic hierarchy process to simplify multi-objective problems: application to the design of biofuels supply chains using on field surveys. Comput Chem Eng 102:64–80. https://doi.org/10.1016/j.compchemeng.2016.10.014
Xia MM, Xu ZS (2011) Hesitant fuzzy information aggregation in decision making. Int J Approx Reason 52:395–407. https://doi.org/10.1016/j.ijar.2010.09.002
Xu Z, Liao H (2014) Intuitionistic fuzzy analytic hierarchy process. IEEE Trans Fuzzy Syst 22(4):749–761. https://doi.org/10.1109/TFUZZ.2013.2272585
Yap HY, Nixon JD (2015) A multi-criteria analysis of options for energy recovery from municipal solid waste in India and the UK. Waste Manag 46:265–277. https://doi.org/10.1016/j.wasman.2015.08.002
Zadeh LA (1965) Fuzzy sets. Inf Control 8(3):338–353. https://doi.org/10.1016/S0019-9958(65)90241-X
Zadeh LA (1975) The concept of a linguistic variable and its application to approximate reasoning. Inf Sci 8(3):199–249. https://doi.org/10.1016/0020-0255(75)90036-5
Xu Z, Qin J, Liu J, Martínez L (2019) Sustainable supplier selection based on AHPSort II in interval type-2 fuzzy environment. Inf Sci 483:273–293
Funding
There is no funding to declare.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The author declares that they have no conflict of interest.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Albayrak, K. A hybrid fuzzy decision making approach for sitting a solid waste energy production plant. Soft Comput 26, 575–587 (2022). https://doi.org/10.1007/s00500-021-06563-x
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00500-021-06563-x