| Title |
Solid waste collection system selection for smart cities based on a type-2 fuzzy multi-criteria decision technique |
| ID_Doc |
40567 |
| Authors |
Topaloglu, M; Yarkin, F; Kaya, T |
| Title |
Solid waste collection system selection for smart cities based on a type-2 fuzzy multi-criteria decision technique |
| Year |
2018 |
| Published |
Soft Computing, 22, 15 |
| DOI |
10.1007/s00500-018-3232-8 |
| Abstract |
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 TepebaAYA +/- 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. |
| Author Keywords |
Smart city; Municipal solid waste; Emerging ICTs; Type-2 fuzzy sets; Multi-criteria; Fuzzy TOPSIS |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED); Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000437142800003 |
| WoS Category |
Computer Science, Artificial Intelligence; Computer Science, Interdisciplinary Applications |
| Research Area |
Computer Science |
| PDF |
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