An Intuitionistic Fuzzy Service Model: Use Case for Swiss Health Platform

The success of the service provider business is highly correlated with quantity and the quality of business processes. The aim of this research project is to support Service Management in discovering and prediction of the impacts of back-end component failures on the business services. In this paper we show the application of the intuitionistic-fuzzy approach to the dependency model that is developed for a complex e-health platform hosting environment. For this model, selected fuzzy-related components are mapped to business services with corresponding performance parameters. The objective is to calculate coupling metrics and offer insight into the dependencies’ nature, supports root case, and business impact analysis. Developed prototype combined with ongoing research supports discovery of the cause of SLA violations and improves analyses to make appropriate adjustment decisions during runtime. This research project is supported by Centris AG; a leading provider of IT solutions and outsourcing services.