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Group decision making (GDM) with intuitionistic fuzzy preference relations (IFPRs) has been an important and active research topic recently, in which one of the most challenging issues is how to reach the group consensus so as to get the best decision. As the uniform consensus is often unachievable in practice, in order to achieve the consensus, the existing method needs to remove the experts with the most different opinions from the decision group. It has two drawbacks: the first is the loss of the valuable judgments and opinions of the removed experts. This is especially harmful in practice where most experts or decision makers often have the biased knowledge in the sense of in-depth expertise in some aspects and naive views in other aspects. The second is demotivating the experts in GDM. To overcome these weaknesses in the existing method, this paper presents an enhanced consensus reaching process …