As a extension of fuzzy sets, intuitionistic fuzzy sets play an essential part in processing uncertain information. Quasi‐Overlap functions have emerged in recent years as a tool for information aggregation. The combination of intuitionistic fuzzy sets with quasi‐overlap functions offers new methodologies for addressing uncertain information. This study first introduces the notion of quasi‐overlap functions on intuitionistic fuzzy sets and presents specific examples. It then explores the generation methods for quasi‐overlap functions within the framework of intuitionistic fuzzy sets. Subsequently, a novel class of discrete Choquet integral fusion operators is constructed using the generated quasi‐overlap functions. Finally, the newly constructed discrete Choquet integral fusion operator is applied to the multi‐class ensemble problems, resulting in the development of a new multi‐class ensemble algorithm. The superiority of the proposed method is empirically validated using UCI datasets.
Peng et al. (Thu,) studied this question.