A neural implementation of multi-adjoint logic programs via sf-homogenization
- Medina Moreno, Jesús
- Mérida Casermeiro, Enrique
- Ojeda Aciego, Manuel
ISSN: 1134-5632
Año de publicación: 2005
Volumen: 12
Número: 3
Páginas: 199-216
Tipo: Artículo
Otras publicaciones en: Mathware & soft computing: The Magazine of the European Society for Fuzzy Logic and Technology
Resumen
A generalization of the homogenization process needed for the neural implementation of multi-adjoint logic programming (a unifying theory to deal with uncertainty, imprecise data or incomplete information) is presented here. The idea is to allow to represent a more general family of adjoint pairs, but maintaining the advantage of the existing implementation recently introduced in [6]. The soundness of the transformation is proved and its complexity is analysed. In addition, the corresponding generalization of the neural-like implementation of the fixed point semantics of multi-adjoint is presented.