IoT Feature Assessment for Smart Cities via Intuitionistic Fuzzy Selected Element Reduction Approach (IF-SERA)

IoT technologies implemented into congested cities surely improve society’s quality of life. However, it is critical to accurately define the criteria for the adaptations of cities in this process and how to make an evaluation. While smart cities are graded based on assessment criteria such as energy savings, data quality and integrity, cloud computing, and management issues, it is also vital to consider which features will be effective and how much they will rate. This study evaluates IoT features of being smart cities by integrating Intuitionistic Fuzzy Selected Element Reduction Approach (IF-SERA), which is newly introduced to the literature for weighting criteria in decision-making problems in an intuitionistic fuzzy environment. This method is based on the impact of a chosen criterion on the findings, and then the weight is determined by eliminating it from the evaluation. Hence, while making an assessment, the criteria weights are not subjective, and they take evaluation-specific values. Within the scope of smart cities, IoT criteria are ranked according to intuitionistic fuzzy decisions of the experts. With the case of IoT-based smart cities, the application area of the novel fuzzy weighting approach is investigated.