Abstract Multi-Agent Systems (MASs) have been used to solve complex problems that
demand intelligent agents working together to reach the desired goals. These Agents should …

Time series analysis models, understands, and predicts phenomena from different domains
such as meteorology, medicine, and economics. In this context, Fuzzy Time Series has been …

Coordination is an important requirement for most Multiagent Systems. A setplay is a
particular instance of a coordinated plan for multi-robot systems in collective sports. Setplays …

Abstract Brainly is a Community Question Answer (CQA) application that allows students or
parents to ask questions related to their homework. The current mechanism is that users ask …

Fuzzy clustering validation of high-dimensional datasets is only possible using a reliable
cluster validity index (CVI). A good CVI must correctly recognize a data structure and its …

Clustering high-dimensional data is a well-known challenge many data scientists face,
especially when dealing with methods based on distance, which are often affected by …

Most of the well-known and widely used conventional clustering algorithms, as k-Means and
Fuzzy c-Means (FCM), were designed by assuming that, in most cases, the number of …