Design problem solving: a task analysis
AI Magazine
Defuzzification: criteria and classification
Fuzzy Sets and Systems
Knowledge engineering and management: the CommonKADS methodology
Knowledge engineering and management: the CommonKADS methodology
Designing and Evaluating E-Business Models
IEEE Intelligent Systems
Business Modelling Is Not Process Modelling
ER '00 Proceedings of the Workshops on Conceptual Modeling Approaches for E-Business and The World Wide Web and Conceptual Modeling: Conceptual Modeling for E-Business and the Web
A survey on web services composition
International Journal of Web and Grid Services
Annotation, composition and invocation of semantic web services
Web Semantics: Science, Services and Agents on the World Wide Web
HICSS '11 Proceedings of the 2011 44th Hawaii International Conference on System Sciences
Dynamic Cluster-based Service Bundling: A Value-oriented Framework
CEC '11 Proceedings of the 2011 IEEE 13th Conference on Commerce and Enterprise Computing
Fuzzy logic = computing with words
IEEE Transactions on Fuzzy Systems
e3RoME: a value-based approach for method bundling
Proceedings of the 28th Annual ACM Symposium on Applied Computing
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Service Value Networks (SVNs) represent a flexible design for service suppliers to offer attractive value propositions to final customers. Furthermore, networked services can satisfy more complex customer needs than single services acting on their own. Although, SVNs can cover complex needs, there is usually a mismatch between what the SVNs offer and what the customer needs. We present a framework to achieve SVN composition by means of the propose-critique-modify (PCM) problem-solving method and a Fuzzy Inference System (FIS). Whereas the PCM method composes alternative SVNs given some customer need, the FIS verifies the fitness of the composed SVNs for the given need. Our framework offers not only an interactive dialogue in which the customer can refine the composed SVNs but also visualizes the final composition, by making use of e3-valuemodels. Finally, the applicability of our approach is shown by means of a case study in the educational service sector.