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A New Approach to Derive Priority Weights from Additive Interval Fuzzy Preference Relations Based on Logarithms

机译：基于对数基于对数的源自附加间隔模糊偏好关系的一种新方法

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Xingdang Kang; Wenning Hao; Hongjun Zhang; Xiuli Qi; Chengxiang Yin;
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年度 2018
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1. 一种基于二次规划模型的模糊偏好关系排序法 [J] . 徐泽水, 达庆利, 陈琦东南大学学报（英文版） . 2005,第001期
2. A New Approach to Derive Priority Weights from Additive Interval Fuzzy Preference Relations Based on Logarithms [J] . Kang Xingdang, Hao Wenning, Zhang Hongjun, Mathematical Problems in Engineering . 2018,第PTa14期

机译：基于对数的加性区间模糊偏好关系推导优先权重的新方法
3. A New Approach to Derive Priority Weights from Additive Interval Fuzzy Preference Relations Based on Logarithms [J] . Xingdang Kang, Wenning Hao, Hongjun Zhang, Mathematical Problems in Engineering: Theory, Methods and Applications . 2018,第3期

机译：基于对数的加性区间模糊偏好关系推导优先权重的新方法
4. A New Approach to Derive Priority Weights from Additive Interval Fuzzy Preference Relations Based on Logarithms [J] . Xingdang Kang, Wenning Hao, Hongjun Zhang, Mathematical Problems in Engineering: Theory, Methods and Applications . 2018,第5期

机译：基于对数的加性区间模糊偏好关系推导优先权重的新方法
5. A LINER PROGRAMMING APPROACH TO GENERATING PRIORITY WEIGHTS FROM ADDITIVE INTERVAL FUZZY PREFERENCE RELATION [C] . JIBIN LAN, JUN WANG, HEQI ZENG Computational intelligence : Foundations and applications . 2010

机译：从加法区间模糊偏好关系生成优先权的线性规划方法
6. Enhancement of Set-Based Design Practices Via Introduction of Uncertainty Through the Use of Interval Type-2 Modeling and General Type-2 Fuzzy Logic Agent Based Methods [D] . Gray, Alexander Westley. 2011

机译：通过使用间隔Type-2建模和基于一般类型-2模糊逻辑代理的方法引入不确定性来引入基于集合的设计实践的增强
7. Deriving the priority weights from probabilistic linguistic preference relation with unknown probabilities [O] . Yongming Song -1

机译：从概率未知的概率语言偏好关系中得出优先权重
8. Geometric Least Square Models for Deriving0,1-Valued Interval Weights from Interval Fuzzy Preference Relations Based on Multiplicative Transitivity [O] . Xuan Yang, Zhou-Jing Wang 2015

机译：基于乘法传递率的间隔模糊偏好关系导出的几何最小二乘模型

A New Approach to Derive Priority Weights from Additive Interval Fuzzy Preference Relations Based on Logarithms

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