Abstract
The unfolding transformation has been widely used in many declarative frameworks for improving the efficiency and scalability of programs after applying computational steps on their rules. Inspired by our previous experiences in fuzzy logic languages not dealing with similarity relations, in this work we adapt such operation to the so-called FASILL language (acronym of “Fuzzy Aggregators and Similarity Into a Logic Language”) which has been recently designed and implemented in our research group for coping with implicit/explicit truth degree annotations, a great variety of connectives and unification by similarity.
This work has been partially supported by the EU (FEDER), the State Research Agency (AEI) and the Spanish Ministerio de Economía y Competitividad under grant TIN2016-76843-C4-2-R (AEI/FEDER, UE).
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Moreno, G., Penabad, J., Riaza, J.A. (2017). On Similarity-Based Unfolding. In: Moral, S., Pivert, O., Sánchez, D., Marín, N. (eds) Scalable Uncertainty Management. SUM 2017. Lecture Notes in Computer Science(), vol 10564. Springer, Cham. https://doi.org/10.1007/978-3-319-67582-4_32
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