The increasing population and resource constraints in the world have made life in cities complex and difficult to manage. Especially the need for energy, water and other resources has become alarming, and the management and disposal of waste materials has also emerged as an important area of risk. Although waste management has been improved over time by methods such as recycling, it cannot fully solve the problems that have occurred. The need for landfill in cities, health and environmental problems have created the need for a more effective system to solve problems. It has become vital to create a sustainable life in cities that is more efficient, and which consumes less resources and improves the desired quality of life. The increase in these needs and especially developments in information technologies have created the “smart city” concept and applications that bring great innovations and facilities in many areas such as transportation, communication, health, security, energy efficiency, water use and waste management. Smart Waste Management Systems (SWMS) emerging in this context make an important contribution to the sustainability of today's cities and play an important role in carrying human life into the future. In addition, it increases the quality of life with cost optimization, energy efficiency, in-formation management, time saving, improving hygiene, and reduction in traffic, noise, bad odor and carbon emissions. This operation, defined as “smart”, also sets an example for the use of artificial intelligence. The levels of the structures, processes and performances of the existing SWMSs show their success and thus the level of providing a sustainable life. The evaluation of these currently developing systems with their components will guide all relevant actors in the improvement of existing systems. Lack of a clear criterion used in the evaluation of SWMS required this assessment to be made with the MCDM (multi-criteria decision making) methods, which makes it possible to evaluate both objective and subjective criteria. As evaluating SWMS problem needs both tangible and intangible data, using fuzzy logic is a useful tool to solve the problem. Therefore, in the application section, the Spherical fuzzy AHP (Analytic Hierarchy Process) method is used to handle determined problem. In the application section, three alternatives are evaluated under four determined criteria. Results show that the problem is handled with Spherical fuzzy AHP method by efficiently and effectively.