3 research outputs found
The role of interpretable fuzzy systems in designing cognitive cities
In recent years, there has been a huge effort connecting all kind of devices
to Internet. From small devices (e.g., e-health monitoring sensors or mobile
phones) that we carry daily in what is called the body-area-network, to big devices
(such as cars), passing by all devices (e.g., TVs or refrigerators) at home. In modern
cities, everything (at work, at home, and even in the streets) is connected to Internet.
Accordingly, the amount of data in Internet grows dramatically every day. With this
regard, humans face two main challenges: (1) to extract valuable knowledge from
the given Big Data and (2) to become part of the equation, i.e., to become active
actors in the Internet of Things. To do so, researchers and developers have created
a novel generation of intelligent systems which are producing more and more intelligent
devices, yielding what is called smart cities. Fuzzy systems are used in many
applications in the context of Smart Cities. Now, it is time to address the effective
interaction between intelligent systems and citizens with the aim of passing from
smart to Cognitive Cities. Moreover, the use of interpretable fuzzy systems can facilitate
such interaction and pave the way towards Cognitive Cities