Performing conjoint analysis within a logic-based framework

Conjoint Analysis is heavily used in many different areas: from mathematical psychology, economics and marketing to sociology, transportation and medicine trying to understand how individuals evaluate products/services and as well as on predicting behavioral outcomes by using statistical methods and techniques. Nowadays is not much agreement about best practice, which in turn has led to many flavors of CA being proposed and applied. The goal of this paper is to offer a solution to perform Adaptive Conjoint Analysis inside CQQL, a quantum logic based information framework. We describe an algorithm to compute a logical CQQL formula capturing user preferences and use this formula to derive decision rules.