  With the increase in the number of web services, many web services are
available on internet providing the same functionality, making it difficult to
choose the best one, fulfilling users all requirements. This problem can be
solved by considering the quality of web services to distinguish functionally
similar web services. Nine different quality parameters are considered. Web
services can be classified and ranked using decision tree approach since they
do not require long training period and can be easily interpreted. Various
decision tree and rules approaches available are applied and tested to find the
optimal decision method to correctly classify functionally similar web services
considering their quality parameters.
