首页> 外文会议>International Conference on Artificial Intelligence IC-AI'2000 Vol.3, Jun 26-29, 2000, Las Vegas, Nevada, USA >YIN YANG EQUILIBRIUM RELATIONS ―A MATHEMATICAL MODEL FOR BIPOLAR PARTITIONING AND COORDINATION
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YIN YANG EQUILIBRIUM RELATIONS ―A MATHEMATICAL MODEL FOR BIPOLAR PARTITIONING AND COORDINATION

机译:阴阳平衡关系-双峰分配和协调的数学模型

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This work generalizes classical binary relations to (yin yang) bipolar relations, classical equivalence relations to bipolar equilibrium relations, and classical unipolar sets to bipolar sets which consists of coalition sets, conflict sets, and harmony sets. A relational strength in a bipolar relation consists of both a negative pole and a positive pole. A number of theorems are proved that build analytical bridges from equilibrium (bipolar) relations back to equivalence relations. These theorems provide an analytical basis for bipolar partitioning. A bipolar partitioning algorithm is presented which can identify disjoint coalition subsets not involved in a conflict, disjoint coalition subsets involved in a conflict, disjoint conflict subsets, and disjoint harmony subsets from the set X. Thus, equilibrium relations provide a unique structure for bipolar data and knowledge fusion, bipolar clustering, conflict resolution, and multiagent coordination.
机译:这项工作将经典二元关系推广到(阴阳)双极关系,将经典等价关系推广到双极平衡关系,并且将经典单极集推广到由联盟集,冲突集和和声集组成的双极集。双极关系中的关系强度由负极和正极组成。证明了许多定理,它们建立了从平衡(双极)关系回到等效关系的分析桥梁。这些定理为双极划分提供了分析基础。提出了一种双极分区算法,该算法可以从集合X中识别出不涉及冲突的不相交联盟子集,不涉及冲突的不相交联盟子集,不相交的冲突子集和不相交的和谐子集。因此,平衡关系为双极数据提供了唯一的结构以及知识融合,双极性聚类,冲突解决和多主体协调。

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