In this paper we investigate the generalized hypothetical syllogism (GHS). We present few versions of the well known GHS equation. We focus our attention on R-implications and give some results concerning left-continuous t-norms. We show some solutions of GHS equations based on the compositional rule of inference and Bandler-Kohout subproduct. Also we sketch the idea of new possible functional equations coming from the GHS.
CITATION STYLE
Miś, K., & Baczyński, M. (2019). Different Forms of Generalized Hypothetical Syllogism with Regard to R-Implications. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11508 LNAI, pp. 304–313). Springer Verlag. https://doi.org/10.1007/978-3-030-20912-4_29
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