针对现行模糊性度量结构特征不明确以及系统性差等方面的不足,通过模糊特征函数与模糊性综合算子建立了一类融合现有度量方法的具有广泛可操作性的F+S模糊性度量模型;给出了基于拟线性函数的模糊特征函数的数量化构造模型和基于测度理论的综合算子构造模型,进而结合综合评判问题给出了F+S模糊性度量的一种应用。结果表明F+S模糊性度量系统具有良好的可操作性,可以有效地将决策意识融入信息处理过程中,在复杂系统优化、人工智能等众多领域具有广泛的应用前景。
In view of the shortcomings of poor structure features and systematicness of current fuzziness metric, by combining fuzziness characteristic function with fuzziness-synthesizing operator, we establish F+ S fuzziness metric model, and give tectonic models of the fuzziness characteristic function based on quasi-linear function and synthesizing operator model based on measure theory. Further,we apply F+S fuzziness measure into comprehensive evaluation. The results show that F+ S fuzziness measure system has good operability, and can effectively merge the decision consciousness into the information processing, so it can be widely used in many fields such as artificial intelligence, optimizations in complex manufacturing systems.