Abstract
A method for product service system classification and service transformation is provided. In the method, analysis data of multiple product service systems (PSSs) is collected and accordingly multiple condition attributes of the PSSs are defined and used to establish a classification decision table. Then, reducts of the condition attributes are induced from the classification decision table through a rough set theory algorithm and accordingly multiple candidate decision rules are generated. The candidate decision rules are validated by using the analysis data to generate final decision rules. The final decision rules are applied to determine a current type of the PSS of a target firm. Core competences of the target firm are analyzed to determine a recommend type of the PSS for the future. Finally, a transformation recommendation for the service of the target firm is provided according to differences between the condition attributes of the recommend type and the current type.