A Novel Bipolar MCDM Model Using Rough Sets and Three-Way Decisions for Decision Aids

摘要: This study proposes a bipolar model for resolving multiple criteria decision-making (MCDM) problems, based on the integration of rough set theory and three-way decisions, forming hybrid model. It begins by dividing decision space into three disjoint regions: negative, neutral, positive states, in next, rule induction mechanism generates two sets rules associated with negative states respectively, termed as rules. The groups are regarded experience (knowledge) form granulized knowledge, makers can then define threshold to select covered number novel approach not only supports or rank alternatives, but also identify knowledge addressed problem. As result, this transforms soft computing analytics comprehensible aids.