Service Systems are means of value-co-creation and are considered “Smart” if they are supported by IT and react to external changes for the satisfaction of the whole. The co-production of value occurs by processes coordinating the participants, which exchange services, and including decision-making activities, such as the choice of a specific Service Provider. Making decisions is a matter of Governance that often conciliate the expectations of everyone. For the selection of Service Providers among a set of suitable ones, it is possible to consider a Fuzzy Consensus Model for a Group Decision Making (GDM) situation within a service scenario. We have a set of Service Providers (possible alternatives), and decision makers, who examine the choices to reach a common decision. The model considers fuzzy preference relations and an advice generation mechanism to support the decision makers. A case study, where heterogeneous experts have to e

Fuzzy consensus model for governance in smart service systems

Gaeta M.;Loia V.;Orciuoli F.;Piciocchi P.;Rarità L.;Tommasetti A.
2015-01-01

Abstract

Service Systems are means of value-co-creation and are considered “Smart” if they are supported by IT and react to external changes for the satisfaction of the whole. The co-production of value occurs by processes coordinating the participants, which exchange services, and including decision-making activities, such as the choice of a specific Service Provider. Making decisions is a matter of Governance that often conciliate the expectations of everyone. For the selection of Service Providers among a set of suitable ones, it is possible to consider a Fuzzy Consensus Model for a Group Decision Making (GDM) situation within a service scenario. We have a set of Service Providers (possible alternatives), and decision makers, who examine the choices to reach a common decision. The model considers fuzzy preference relations and an advice generation mechanism to support the decision makers. A case study, where heterogeneous experts have to e
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11386/4710656
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