The growing popularity of cloud services requires service selection platforms that offer enhanced user
experience in terms of handling complex user requirements, elicitation of quality of service (QoS)
requirements, and presentation of search results to aid decision making. So far, none of the existing cloud
service selection approaches has provided a framework that wholly possesses these attributes. In this paper,
we proposed a fuzzy-oriented framework that could facilitate enhanced user experience in cloud emarketplaces
through formal composition of atomic services to satisfy complex user requirements, elicitation and processing of subjective user QoS requirements, and presentation of search results in a visually intuitive way that aids users’ decision making. To do this, an integration of key concepts such as constrained-based reasoning on feature models, fuzzy pairwise comparison of QoS attributes, fuzzy decision
making, and information visualization have been used. The applicability of the framework is illustrated with an example of Customer Relationship Management as a Service
