AILONov 10, 2017

Lattice embeddings between types of fuzzy sets. Closed-valued fuzzy sets

arXiv:1711.03752v13 citations
Originality Incremental advance
AI Analysis

This work addresses a foundational issue in fuzzy set theory for researchers in mathematical logic and AI, but it appears incremental as it builds on existing frameworks.

The paper tackles the problem of extending Zadeh's operators on fuzzy sets to interval-valued, set-valued, and type-2 fuzzy sets by proposing lattice embeddings and introducing closed-valued fuzzy sets, which allow handling membership degrees of different natures like closed intervals and finite sets.

In this paper we deal with the problem of extending Zadeh's operators on fuzzy sets (FSs) to interval-valued (IVFSs), set-valued (SVFSs) and type-2 (T2FSs) fuzzy sets. Namely, it is known that seeing FSs as SVFSs, or T2FSs, whose membership degrees are singletons is not order-preserving. We then describe a family of lattice embeddings from FSs to SVFSs. Alternatively, if the former singleton viewpoint is required, we reformulate the intersection on hesitant fuzzy sets and introduce what we have called closed-valued fuzzy sets. This new type of fuzzy sets extends standard union and intersection on FSs. In addition, it allows handling together membership degrees of different nature as, for instance, closed intervals and finite sets. Finally, all these constructions are viewed as T2FSs forming a chain of lattices.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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