An example of pricing in competitive supply chain using association rule mining algorithm based on interval concept lattice

• Published in: Journal of intelligent & fuzzy systems Vol. 43; no. 1; pp. 425 - 435
• Main Authors: Li, Mingxia, Chen, Kebing, Liu, Baoxiang
• Format: Journal Article
• Language: English
• Published: Amsterdam IOS Press BV 2022
• Subjects: Algorithms; Data mining; Lattice theory; Object recognition; Optimization; Parameters; Pricing; Supply chains
• ISSN: 1064-1246; 1875-8967
• DOI: 10.3233/JIFS-212265

The substitutability between products or the intensity of market competition is the key parameter affecting the supplier’s pricing decision. However, the parameter cannot be accurately measured in real life. This paper provides a method based on prior information to solve this issue. First, compared to classical concept lattice theory, the interval concept lattice theory can deal with uncertain information more accurately. It is used to extract the objects within the interval parameters [α, β], and then interval concepts and lattice structure are built. Second, based on the interval concepts and lattice structure, the association rule mining algorithm is designed to further extract the association rules under different interval parameters. Third, to obtain the effective association degree between two objects, the rule optimization algorithm is put forward by comparing the update of rules. Finally, the association degree can indirectly reflect the substitutability between products. Then the price of a new product can be determined. Our paper provides some implication on pricing for suppliers in competitive supply chain.