The penalty function approach was applied to turn the system-level compatibility constrained optimization problem to a no-constrained optimization problem and the expression of dynamic penalty factor was determined by interdisciplinary discrepancy information.

It is the core problem of the research of rough set theory that Knowledge acquisition based on Rough Set Knowledge acquisition based on Rough Set,and Inconsistent information system and Incomplete Information System have been key and hot problem in the field,the research of this topic launches from this both side exactly.

A decision rule mining algorithm based on rough information vector is proposed in inconsistent information system.

A method to adjust the threshold is proposed via cyclic iteration steps to ensure that the optimization at system level will go towards decreasing the unsatisfiability of constraint on consistency equality,thus achieving the goal to enhance the interdisciplinary consistency.