Solid waste collection system selection for smart cities based on a type-2 fuzzy multi-criteria decision technique
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Energy-efficient and eco-friendly information and communication technologies (ICTs) make increasingly significant contributions to daily life while supporting environmental protection and a sustainable economy. Smart city approach aims to integrate ICTs and physical devices to track, analyze, and optimize the parameters of urban operations and services. The purpose of this study is to suggest a type-2 fuzzy multiple criteria methodology to evaluate and rank alternative waste collection systems in a smart city environment. Type-2 fuzzy sets, whose membership functions are also fuzzy, can constitute a strong theoretical base to techniques which can handle problems with vague components. In this regard, type-2 fuzzy TOPSIS method is applied to a real case study from Eskisehir, Turkey. Considering the current needs of Tepebaşı district, in which there are currently ongoing smart city projects funded by European Union, four alternative concepts are designed. Each of the concepts is based on a particular ICT. Analysis results show that the drone and the visible light communication-based collection systems are the most appropriate systems for the study area. To track the stability of the results to changes in the attribute weights, a sensitivity analysis is also provided. This study can be considered as one of the first attempts to evaluate the integration of emerging ICTs into smart waste collection systems using type-2 fuzzy sets.
KeywordsSmart city Municipal solid waste Emerging ICTs Type-2 fuzzy sets Multi-criteria Fuzzy TOPSIS
Compliance with ethical standards
Conflict of interest
The authors declare that they have no conflict of interest.
All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards.
Human and animal rights
This article does not contain any studies with animals performed by any of the authors.
Informed consent was obtained from all individual participants included in the study.
- Etli P, Aksoylu SA (2016) Critical outlook to remourban project of Eskisehir Tepebasi municipality as a smart settlement. In: 5th International conference on smart cities and green ICT systems (SMARTGREENS 2016). pp 86–93Google Scholar
- Kahraman C, Sarı İU (2012) Multicriteria environmental risk evaluation using type II fuzzy sets. In: Greco S, Bouchon-Meunier B, Coletti G, Fedrizzi M, Matarazzo B, Yager RR (eds) Advances in computational intelligence. IPMU 2012. Communications in computer and information science, vol 300. Springer, Berlin, HeidelbergGoogle Scholar
- Lajmi H, Kammoun HM, Zouari M, Alimi AM, Rodriguez JM (2017) Type-2-fuzzy rule base system based on ECUs communication in a smart city vehicular environment. In: 2017 International conference on advanced systems and electric technologies (IC\_ASET), IEEE. pp 460–466Google Scholar
- Lee LW, Chen SM (2008) Fuzzy multiple attributes group decision-making based on the extension of TOPSIS method and interval type-2 fuzzy sets. In: 2008 International conference on machine learning and cybernetic, Kunming, China. pp 3260–3265Google Scholar
- Mohagheghi V, Mousavi SM, Siadat A (2016) Assessing E-waste recycling programs by developing preference selection index under interval type-2 fuzzy uncertainty. In: IEEE International conference on industrial engineering and engineering management (IEEM), Bali. pp 1259–1263Google Scholar
- Morrissey A, Browne J (2002) The application of multicriteria decision making techniques in the assessment of waste management strategies. WIT Trans Ecol Environ 56:591–600Google Scholar
- Torkamani F, Fallah S, Saadatmand M (2012) How urban management can use DSS to facilitate decision-making process: an application of fuzzy TOPSIS. J Am Sci 8(5):162–173Google Scholar
- Vicentini F, Giusti A, Rovetta A, Fan X, He Q, Zhu M, Liu B (2009) Sensorized waste collection container for content estimation and collection optimization. Waste Manag (Oxford) 29(5):1467–1472 first international conference on environmental management, engineering, planning and economicsCrossRefGoogle Scholar
- Zadeh LA (1965) Fuzzy sets. Inf Control 8:338–353Google Scholar