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IWINAC
2005
Springer

Interval-Valued Neural Multi-adjoint Logic Programs

14 years 5 months ago
Interval-Valued Neural Multi-adjoint Logic Programs
The framework of multi-adjoint logic programming has shown to cover a number of approaches to reason under uncertainty, imprecise data or incomplete information. In previous works, we have presented a neural implementation of its fix-point semantics for a signature in which conjunctors are built as an ordinal sum of a finite family of basic conjunctors (G¨odel and Lukasiewicz t-norms). Taking into account that a number of approaches to reasoning under uncertainty consider the set of subintervals of the unit interval as the underlying lattice of truth-values, in this paper we pursue an extension of the previous approach in order to accomodate calculation with truth-intervals.
Jesús Medina, Enrique Mérida Caserme
Added 28 Jun 2010
Updated 28 Jun 2010
Type Conference
Year 2005
Where IWINAC
Authors Jesús Medina, Enrique Mérida Casermeiro, Manuel Ojeda-Aciego
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