模糊性度量的本质特征分析

Essential Feature Analysis for Fuzziness Measure

模糊技术是当今智能计算及其优化领域中的重要研究工具,合理地描述和度量不确定信息,是人工智能、计算机技术、复杂系统的控制与优化等众多领域关注的研究课题.考虑到现有的模糊性度量存在系统性差以及结构特征不明确等问题,分析了模糊度公理化体系的内在含义及其作用,提出了描述和处理模糊性的模糊特征函数的概念,从而为建立具有普遍意义的模糊性度量打下基础.

Fuzzy techniques are playing an increasing role in current intelligent computations and optimizations.How to reasonably describe and measure uncertain information has become urgent in many practical domains such as artificial intelligence,computer techniques,control and optimizations in complex manufacturing systems.In view of the shortcomings of poor systematicness and indistinct structure features of current measuring ways for fuzziness,The intrinsic implications and performance of the axioms for fuzziness are analyzed and the concept of fuzziness feature function are proposed to describe the fuzziness.This will help us to find fuzziness measures with general meaning.