Aggregation of Weak Fuzzy Norms

Aggregation is a mathematical process consisting in the fusion of set values into unique one and representing them some sense. functions have demonstrated to be very important many problems related information. This has resulted extended use these not only combine family numbers but also certain structures such as metrics or norms, classical context, indistinguishability operators fuzzy context. In this paper, we study characterize through which can obtain single weak (quasi-)norm from an arbitrary (quasi-)norms two different senses: when each defined on possibly vector space all are same space. We will show that, contrary crisp case, aggregation equivalent (quasi-)metric functions.