•||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).