Track: Decision Sciences

Abstract

Cities, the main living space of people, are one of the focal points of the concept of sustainability. Sustainable cities, which are of great importance in Sustainable Development Goals (SDGs), aim to create the nests of our future and to support this approach with digital solutions. The sustainable city concept aims to define many different needs of a city from a macro perspective and to make that city more environmentally friendly and more livable with the planning and investments to be made based on this definition. At this point, digital solutions are needed to meet all the needs of the residents of the city and to ensure their welfare in a sustainable way. In this context, the evaluation of digital solutions for sustainable cities is considered a Multi-Criteria Decision Making (MCDM) problem due to its mixed structure and many different criteria. However, it becomes difficult for experts to evaluate and make decisions about the system when the information is insufficient and uncertain. Therefore, in this study, the fuzzy approach is used to evaluate the MCDM problem more realistically and flexibly. The aim of the study is to propose an evaluation model and integrated analytic methods for the evaluation of digital solutions for sustainable cities. The fuzzy Analytic Hierarchy Process (AHP) method is used to calculate the weights of the criteria and fuzzy Evaluation Based on Distance from Average Solution (EDAS) is used to prioritize the digital solutions. Finally, an application is provided to demonstrate the potential of the proposed methodology.