Web service selection with uncertain QoS information

How to dynamically select Web services which can best meet the QoS (quality of service) requirements of consumers is very critical to the success of Web services in business domains. Most of current researches use precise QoS information for Web service selection but the uncertainty of QoS information in Web service selection is not well considered. After analyzing the uncertainty of QoS information in Web service selection, the specification method of uncertain QoS advertisement value, QoS requirement value and weight constraints are designed. Then a Web service selection model is built using possibility degree method for interval numbers ranking and TOPSIS (technique for order preference by similarity to ideal solution) method for MADM (multiple attribute decision making) problems. The experimental results show that the model can effectively select Web service which can meet the requirements of consumers when QoS information is uncertain.