其理论架构是以模糊集合(fuzzy set)、模糊逻辑(fuzzy logic)、模糊度量(fuzzy measures)为主要内容；Bellman & Zadeh(1970)提出模糊环境下之决策方法以来，应用模糊理论处理存在模糊现象之问题研究有日益增加之趋势。
基于8个网页-相关网页
interval valued Fuzzy measures 区间值Fuzzy测度
h fuzzy measures h型fuzzy测度
signed fuzzy measures 广义fuzzy测度
generalized fuzzy measures 广义模糊测度
Sequence of fuzzy measures Fuzzy测度序列
fuzzy-valued fuzzy measures 模糊值模糊测度
non-monotonic fuzzy measures 非单调模糊测度
Autocontinuity of Set-valued Fuzzy Measures 集值模糊测度的自连续性
In multi-classifier fusion based on fuzzy integrals, fuzzy measures have much influence on the performance of fusion systems.
在基于模糊积分的多分类器融合系统中,模糊测度对融合系统的性能有很大的影响。
参考来源 - 多分类器融合中的模糊测度研究In multi-classifier fusion based on fuzzy integrals, fuzzy measures have much influence on the performance of fusion systems.
模糊测度对融合系统的性能有很大的影响。
参考来源 - 多分类器融合中常用模糊积分的比较·2,447,543篇论文数据，部分数据来源于NoteExpress
Performance matrix; fuzzy measures; fuzzy integrals; QS-9000 system.
绩效矩阵；模糊测度；模糊积分；qs - 9000系统。
The Extension of fuzzy measures is a very important and rather difficult problem in fuzzy measure theory.
模糊测度的扩张是模糊测度论中一个非常重要和难度较大的课题。
We can use AHP to compute every weight of aspects, use fuzzy measures to deal with the relativity between indexes in the same aspect.
用层次分析法计算各层面的权重，用模糊测度来处理每个层面中的评价指标之间的相关性，并利用模糊积分进行综合评价值的计算。
应用推荐