fuzzy logic in distributed database systems

The distributed DBMS should be organized around information processes and structured into a web of information exchange requirements between DBMS nodes. The information processes must be broken into autonomous self-contained object nodes. Sitting atop each node would be "intelligent" software (fuzzy logic) processing the data incoming and outgoing. This intelligent software would be in communication with other nodes and a controller node.

Contingencies would be mapped along lines of logic and the system would construct knowledge reports identifying emerging lines of logical contingencies. Also spontaneous reporting could be generated on command for hunches. The humans the systems reports to would be then applying wisdom to the knowledge provided. Other humans would operate a specific node inputting and processing nodal data.

Each node should be structured around a Just In Time manufacturing concept.

There is nothing particularly unique to distributed database systems that makes them any more or less suitable for the use of fuzzy logic (FL).

As with any application, be it mechanical, electro-mechanical, electronic, hardware or software, the particular type of control system to be best used is dependent on the input variables and the extent to which they are crisp, and the required crispness of the outputs.

In general, given crisp inputs, FL offers no advantage, and may in fact be disadvantageous.

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