Special Session on Fuzziness in Smart Cities (SCIFI)

Although very significant work has been done in this field, there are still problems, which face areas such as semantic uncertainty or fuzziness. The smart city approach requires combination of efforts to improve quality of life, protect the environment, etc. Sensors, data storage, networks can be viewed as hemisphere focused on hard computing. Crucial element of smart city is its inhabitants. People observe, communicate, infer, and compute by approximate reasoning, which can be viewed as hemisphere focused on soft computing. Furthermore, many data are fuzzy in their nature. Managing fuzzy data, inferring from collected data, mining patterns, classification and summarization are tasks, which can be solved by fuzzy logic approaches. The solutions are valuable, for all stakeholders in cities.