An advanced binary encoded matrix representation to support rule base
verification is described. The representation has two important advant
ages over traditional rule base matrix representation techniques. Firs
tly the amount of storage capacity required is substantially less than
that required using traditional techniques; the advantage gained is o
f the order of 97%. Secondly the binary representation offers a signif
icant improvement in the processing of rule base matrices to identify
various rule base anomalies through the use of logical 'bitwise' compa
rators. Both techniques, as implemented in the IMVER system, are descr
ibed and they are fully analysed and compared using a number of comple
xity measures to illustrate the advantages of using the binary encoded
incidence matrix representation over the traditional representation.