摘要
指出由现贴近度公理支持的算法出现的一类反常现象,建立了从严界定零贴近度、并融入相似原理的公理体系;分析了普遍应用的Hammin贴近度算法的不足,进而提出一种贴切、实用、更具适应性的算法N_L;最后,定义了p一测度贴近度N_(mp),并导出N_(mp)与N_L的一致性条件。
In this paper, a type of unussual case arisen from the algorithmsfor nearness on the basis of existing axiom was pointed out, The system of axiomdemarcating zero value strictly and includingthe the principle of similarity wasset up. The author analysed some deficiencies about Hammin's algorithm which isapplied universally. And then a new algorithm NL was advanced. This method issuitable, practical and more adeptable. Further, p-nearness with measure N_(mp) wasdefined, The conditions of identity between N_(mp) and N_1 were also deduced.
关键词
模糊子集
贴近度
分理体系
测度
nearness
system of axiom
measure, Lebesgue's integral
condition of identity
