1.
Application of the Multi objective Integrative Membership grade Deviation Technique to Evaluation of Enterprise Environmental and Economic Efficiency;
多目标综合隶属度偏差法在企业环境经济效益评价中的应用
2.
A Study of the Validity of the Maximum Subordination Principle for the Fuzzy Comprehensive Evaluation Method
模糊综合评判法中的最大隶属原则有效度
3.
On Two Methods of Delimiting Membership of Factor;
关于综合评判法中确定因素隶属度的两种方法
4.
Reserch on Comprehensive Evaluation s Membership Grade and Weight Based on Sea Wall Safety Monitoring;
基于安全监测的海塘综合评判隶属度和权值的研究
5.
Fuzzy Comprehensive Evaluation for Conceptual Design of Mechanic Product Based on New Membership Conversion
机械产品方案设计模糊综合评价中隶属度转换的新方法
6.
Fuzzy matter-element model based on improved membership degree for comprehensive assessment of water resources carrying capacity in river basins
流域水资源承载能力综合评价的改进隶属度模糊物元模型
7.
That method builds up comprehensive evaluation model of many index signs; the adoption grade of membership functions to carry out a description towards evaluating index sign.
该方法建立多指标综合评价模型，采用隶属度函数对评价指标进行了描述。
8.
Comprehensive Evaluation of Cold Resistance on Four Lysimachia Plants by Subordinate Function Values Analysis
利用隶属函数法对4种珍珠菜属植物的抗寒性综合评价
9.
Comprehensive evaluation of drought resistance of four Lysimachia species by using subordinate function
利用隶属函数法对4种珍珠菜属过路黄抗旱性的综合评价
10.
Method of determining membership and nonmembership function in intuitionistic fuzzy sets
直觉模糊集隶属度与非隶属度函数的确定方法
11.
Comprehensive evaluation of heat tolerance of four ground covering plants by subordinate function values analysis
利用隶属函数法对4种地被植物的耐热性综合评价
12.
where slavery was legal.
奴隶制度合法的地方。
13.
Scales for the Degree of Membership of Function Words in Mandarin;
现代汉语虚词模糊划分的隶属度量表
14.
Fuzzy Support Vector Machine with New Membership Function
一种新隶属度函数的模糊支持向量机
15.
All the appendices are an integral part of the Contract.
所有附录/附带条款都隶属本合同。
16.
The Philosophical Consideration in Establishing the Membership Function of a Fuzzy Set;
模糊集合隶属函数确定中的哲学思考
17.
Fuzzy Support Vector Machine Based on Density with Dual Membership
基于密度法的双隶属度模糊支持向量机
18.
Clustering state membership-based Q-learning for dynamic scheduling
基于聚类状态隶属度的动态调度Q-学习