Model-based diagnostic reasoning is an important research branch in the field of artificial intelligence. Generating all minimal hitting-sets(MHSs) from conflict sets is a crucial step in the process of model-based diagnostic reasoning. To solve this problem
all conflict sets are divided into left and right parts according to the Boolean algorithm
and the left cluster is just a subset of the right one
which provides a theoretical foundation for incrementally generating the right MHSs from the left ones. In addition
in the process of incrementally merging branch elements from bottom to top
with the help of the local independence cover checking strategy
all MHSs can be directly produced without generating any redundant non-MHSs and duplicated MHSs. Theoretically
the right branch solution can be incrementally generated by the left one. Experimental results show that the efficiency of the proposed algorithm is significantly improved by about five times
compared with the classical algorithm based on Boolean algorithm and its related improved algorithms.
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references
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