This article introduces complemental fuzzy sets, explains their semantics, and presents a subclass of this model that generalizes intuitionistic fuzzy sets in a novel manner. It also provides practical results that will facilitate their implementation in real situations. At the theoretical level, we define a family ofc-complemental fuzzy sets from each fuzzy negationc. We argue that this construction provides semantic justification for all subfamilies of complemental fuzzy sets, which includeq-rung orthopair fuzzy sets (whencis a Yager's fuzzy complement) and the new family of Sugeno intuitionistic fuzzy sets (whencbelongs to the class of Sugeno's fuzzy complements). We study fundamental operations and a general methodology for the aggregation of complemental fuzzy sets. Then, we give some specific examples of aggregation operators to illustrate their applicability. On a more practical level, constructive proofs demonstrate that all orthopair fuzzy sets on finite sets that satisfy a mild restriction are Sugeno intuitionistic fuzzy sets, and they areq-rung orthopair fuzzy sets for someqtoo. These contributions produce a new operational model that semantically justifies, and mathematically contains, “almost all” orthopair fuzzy sets on finite sets.
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José Carlos R. Alcantud (2023) studied this question.
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