Topological relations between bipolar fuzzy sets based on mathematical morphology
Résumé
In many domains of information processing,
both vagueness, or imprecision, and bipolarity, encompassing positive and negative parts of information, are core features of the information to be modeled and processed. This led to the development of the concept of bipolar fuzzy sets, and of associated models and tools.
Here we propose to extend these tools by defining set theoretical and topological relations between bipolar fuzzy sets, including intersection, inclusion, adjacency and RCC relations widely used in mereotopology,
based on bipolar connectives and on mathematical morphology operators.