Attribute Analysis using Fuzzy Association Rules and Interestingness Measures

While describing cross price elasticity of demand the terms complimentary and substitute goods are often used in Economics. If two goods are substitute if having one, fulfills consumer's requirements thus demand for other decreases while in case of complimentary goods, using more of good one increases requirement for the other. This categorization of items has several applications as in planning replacements in case of scarcity, bundling or packaging of goods, cross-selling etc. On similar lines this relationship between two items can be extended to quantified attributes. This paper uses fuzzy association rule and fuzzy support to define complimentary and substitute attributes and illustrates them using known data sets and discusses their applicability.