In real organizations, diversity of experts always solve complex and emergent problems.

The conflict-elimination process is minimizing the degree of conflict arising from different backgrounds experts’ opinion.

The conflict patterns can reveal the ranking of what alternatives are the most controversial among decision makers.

We proposed the Mining Conflict Pattern (MCP) algorithm to find conflict patterns from users’ partial ranking data.