A global view of diverse construction methods for fuzzy implication functions rooted on F-chains

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Abstract Fuzzy implication functions are one of the most important operators used in the fuzzy logic framework. While their flexible definition allows for diverse families with distinct properties, this variety needs a deeper theoretical understanding of their structural relationships. In this work, we focus on the study of construction methods, which use different techniques to generate new fuzzy implication functions from existing ones. Particularly, we generalize the F -chain-based construction, recently introduced by Mesiar et al. to extend a method for constructing aggregation functions to the context of fuzzy implication functions. Our generalization uses collections of fuzzy implication functions rather than a single one, and uses two different increasing functions instead of a unique F -chain. We analyze property preservation under this construction and establish sufficient conditions. Furthermore, we demonstrate that our generalized F -chain-based construction is a unifying framework for several existing methods. In particular, we show that various well-known construction techniques, such as contraposition, aggregation, and generalized vertical/horizontal threshold methods, can be reformulated within our approach. This reveals structural similarities between seemingly distinct construction strategies and provides a cohesive perspective on fuzzy implication construction methods.