摘要
在基于Vague集聚类规则的近似推理中,需要计算Vague集之间的距离.本文提出两个新的距离公式,证明它们满足已知公理,选择适合的距离公式会得到Vague集规则的更为合理的聚类,以便在进行Vague集推理时,可以降低规则库的搜索规模和减少计算的复杂性.
In approximate reasoning based on Vague set rules by clustering the distance between Vague sets is need computative . In this paper the two new distance formulas between Vague sets were presented, and we proved them to satisfy known axioms. If chose a fit distance formula, them we can get the more reasonable clustering of Vague set rule. So that when to engage in the approximate reasoning of Vague set rules, decreased a searching scope of Vague reasoning and reduced the reasoning complexity.
出处
《琼州大学学报》
2006年第5期37-39,共3页
Journal of Qiongzhou University
