G. Oliva, R. Setola and S. Panzieri, "Distributed Consensus under Ambiguous Information," International Journal of Systems of Systems Engineering (IJSSE), vol. 4, n. 1, pag. 55 78, 2013.
This paper addresses the problem of composing different ambiguous and vague pieces of information without a central authority through a set of distributed agents, each with limited perspective, converging to a shared point of view by exchanging information only with a reduced subset of nodes (i.e. its respective neighborhood). To this end the distributed Consensus problem is extended in the fuzzy fashion. As a result the framework allows to compose several heterogeneous and ambiguous/linguistically expressed opinions in a decentralized way, both in terms of value with higher belief and in terms of ambiguity associated to the final agreement value. The proposed framework is applied to a case study related to Crisis Management for Critical Infrastructures, where human operators, each able to observe directly the state of a given infrastructure (or of a given area considering the vast and geographically dispersed infrastructures), reach a distributed consensus on the overall criticality of a situation expressed in a linguistic, fuzzy way. Such a consensus is reached in terms of actual severity of the scenario (single integrators) or in terms of both severity and evolution tendency (double integrators).