Discovering fuzzy inter- and intra-object associations

► This paper proposes a new fuzzy data-mining algorithm for extracting interesting knowledge from quantitative transactions stored as object data. ► The proposed algorithm is divided into two main phases, one for intra-object linguistic association rules, and the other for inter-object linguistic association rules. ► The numbers of fuzzy intra-object association rules are usually smaller than those of fuzzy inter-object association rules because the attribute number is less than the item number in real applications.