1.
Reverse Triple I Restricted Algorithms for Fuzzy Reasoning Based on Maximum Fuzzy Entropy Principle
基于极大模糊熵原理的模糊推理反向三I约束算法
2.
A Research on Learning Weights of Fuzzy Production Rules Based on Maximum Fuzzy Entropy;
基于极大模糊熵原理的模糊产生式规则权重获取方法研究
3.
The Generalization Ability of Weighted Fuzzy If-then Rules Based on Fuzzy Entropy Maximum;
基于最大熵原理的加权模糊规则泛化能力研究
4.
Fuzzy Entropy α-reverse Triple I Methods for Fuzzy Reasoning;
模糊推理的模糊熵α-反向三Ⅰ算法
5.
Analysis on the Modeling Method of Conditional Recovery Rate:Based on the Maximum Entropy Principle;
基于最大熵原理的条件回收率建模分析
6.
Comprehensive evaluation of product platform upgrading decision in mass customization based on entropy weight and fuzzy matter-element
大规模定制产品平台更新熵权——模糊物元决策
7.
Maximum entropy particle swarm optimization for nonlinear l-1 norm minimization problem
非线性l-1模极小化问题的极大熵粒子群算法
8.
Pursuit Projection Evaluation Model Based on Principle of Maximum Entropy for River Basin Sustainability Evaluation;
流域可持续评价的最大熵原理——投影寻踪耦合模型
9.
Constructing unite distribution model of multiple scaling' moso bamboo's diameter on maximum entropy and application
基于最大熵原理的多尺度毛竹胸径分布统一模型构建及应用
10.
The Fuzzy Analysis in View of Entropy Coefficient for Influence Factor of Large Scale Project Decision Making;
基于熵权的大型项目决策影响因素模糊分析
11.
Research of improved algorithm for multilevel thresholding image segmentation based on fuzzy maximum entropy
模糊最大熵多阈值分割的改进算法研究
12.
Multi-scale color image enhancement algorithm based on human visual system and maximal fuzzy entropy
一种最大模糊熵多尺度彩色图像增强方法
13.
2D Fuzzy Maximum Entropy Image Threshold Segmentation Method Based on QPSO
基于QPSO的二维模糊最大熵图像阈值分割方法
14.
Theoretical Basis on Using Maximum Momentum Fuzzy Extreme Value Training Explosive Force;
最大动量模糊极点训练爆发力的理论依据
15.
Research on Several Image Segmentation Methods Based on Fuzzy Entropy Theory;
基于模糊熵理论的若干图象分割方法研究
16.
Evaluating Method of Customer Requirements Based on Fuzzy Sets and Entropy;
基于模糊集和熵处理的顾客需求评估方法
17.
Fuzzy Information Entropy-Based Control Capability of Environment Management Process;
基于模糊信息熵的环境管理过程控制能力
18.
Evaluation of image scrambling degree utilizing fuzzy entropy theory
运用模糊熵理论进行图像置乱程度评价