Fuzzy clustering of fuzzy systems

A fuzzy system entirely characterizes one region of the input-output product space S=U×Vthrough a relation expressed by a set of fuzzy rules. Effectively, the fuzzy system establishes a fuzzy map, which assigns for each input fuzzy set in U an output fuzzy set in V. The partition of this product space may be made through the decomposition of the relation. The fuzzy clustering of fuzzy rules, here proposed, as well as clustering of data, leads to a fuzzy partition of the S space. The result is a set of fuzzy sub-systems, one for each cluster that will be conveniently linked in a new structure. This paper proposes a new recursive clustering algorithm for the partition of a fuzzy system into a hierarchical collaborative structure. The global response of the hierarchical collaborative structure is identical to the input fuzzy system.Portuguese Ministry of Science and Technology (MCT) - Project SAPIENS- POCTI/33574/99

Communication and sport: a call to action

The economic influence of media has dramatically changed the world of sport, leading sports organisations to increase their focus on communication and assets like brands and reputation. The intent for a more strategic communication within the sports industry must consider a broader and more profound reflection of how the world of sports intertwines with communication and its interactive process of creation, selection, and retention of meaning (Weick, 1979). As a practice and as a business, the social role played by sports, and the singularities of sports organisations are central pieces for the comprehension of the strategic sports communication model presented in this paper. It aims at encouraging researchers to dive into the realm of sports communication.This work is supported by national funds through FCT – Fundação para a Ciência e a Tecnologia, I.P., under the project UIDB/00736/2020