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In Part I of this two-paper set, the inference of the operative configuration (OC) in real time has been analyzed. This Part II presents an approach to infer the OC in extended real time, by proposing a mathematical model based on fuzzy relation equations and fuzzy abductive inference. This model sets a methodological framework to integrate the real-time data from SCADA, the qualitative data supplied by expert operators, and the extended real-time data (customer trouble calls) from CIS. In this way, all the knowledge available is used, and the results are dynamically improved as more data are received. At every stage, all the plausible alternatives of solution are calculated, and a complete outlook of possible options is obtained. The results from testing the methodology on a real distribution feeder are presented and discussed.