Comprehensive Rules-Based and Preferences Induced Weights Allocation in Group Decision-Making with BUI

Abstract Decision-makers’ subjective preferences can be well modeled using preference aggregation operators and related induced weights allocation mechanisms. However, when several different types of occur in some decision environment with more complex uncertainties, repeated uses sometimes become unsuitable or less reasonable. In this work, we discuss a common where invited experts will offer their respective evaluation values for certain object. There are three which significantly affect the allocations from experts. Instead unsuitably performing times independently then merging results together convex combination as literatures recently did, propose organic comprehensive rules-based screen method to first rule out unqualified take refined group A numerical example business management decision-making is presented show cognitive reasonability practical feasibility.