期刊文献+
共找到4篇文章
< 1 >
每页显示 20 50 100
基于多属性效用理论的群体决策偏好整合研究 被引量:6
1
作者 赵九茹 李心广 李霞 《统计与决策》 CSSCI 北大核心 2017年第21期42-46,共5页
文章基于多属性效用理论构建群体决策偏好整合模型并进行实证研究。模型针对决策者对于偏好的差异程度和在意程度,利用各方案之间效用的差异系数和偏差系数作为群体决策偏好整合的系数;针对决策者对于方案的偏好顺序,把方案偏好顺序的... 文章基于多属性效用理论构建群体决策偏好整合模型并进行实证研究。模型针对决策者对于偏好的差异程度和在意程度,利用各方案之间效用的差异系数和偏差系数作为群体决策偏好整合的系数;针对决策者对于方案的偏好顺序,把方案偏好顺序的系数作为群体决策偏好整合的系数,然后将两阶段的系数进行整合,得到的效用值作为群体决策偏好整合的结果。 展开更多
关键词 多属性效用理论 简单加权法 群体决策 多属性准则
下载PDF
基于双层模糊逻辑信任的OLSR安全路由协议
2
作者 刘杰 刘光杰 《计算机系统应用》 2022年第9期241-249,共9页
由于移动自组网的开放性、分散性的特点,导致传统的OLSR信任模型存在无法明确量化节点的信任指标和忽视节点的网络环境的问题.针对上述问题,本文提出一种基于环境自适应决策的双层模糊逻辑信任模型,并与OLSR协议搭建了EFT-OLSR协议.该... 由于移动自组网的开放性、分散性的特点,导致传统的OLSR信任模型存在无法明确量化节点的信任指标和忽视节点的网络环境的问题.针对上述问题,本文提出一种基于环境自适应决策的双层模糊逻辑信任模型,并与OLSR协议搭建了EFT-OLSR协议.该模型划分为参数提取模块、双层模糊推理模块、决策模块.首先选取节点剩余能量(P),阻止隐式的自私攻击;其次通过运用改进的双层模糊逻辑结构,限制计算节点信任指标的复杂度;最后根据网络环境动态调整路由协议中的信任阈值.实验表明, EFT-OLSR协议在数据包传递率(PDR)、平均端到端延迟、丢包率方面优于现有的FT-OLSR信任模型. 展开更多
关键词 模糊逻辑 自适应阈值 多属性准则 OLSR协议
下载PDF
Decision making tools for optimal material selection:A review 被引量:3
3
作者 Divya ZINDANI Saikat Ranjan MAITY Sumit BHOWMIK 《Journal of Central South University》 SCIE EI CAS CSCD 2020年第3期629-673,共45页
The present work reviews different decision making tools(material comparing and choosing tools)used for selecting the best material considering different parameters.In this review work,the authors have tried to addres... The present work reviews different decision making tools(material comparing and choosing tools)used for selecting the best material considering different parameters.In this review work,the authors have tried to address the following important enquiries:1)the engineering applications addressed by the different material choosing and ranking methods;2)the predominantly used decision making tools addressing the optimal material selection for the engineering applications;3)merits and demerits of decision making tools used;4)the dominantly used criteria or objectives considered while selecting a suitable alternative material;5)overview of DEA on material selection field.The authors have surveyed literatures from different regions of the globe and considered literatures since 1988.The present review not only stresses the importance of material selection in the early design stage of the product development but also aids the design and material engineers to apply different decision making tools systematically. 展开更多
关键词 multi-criteria decision making multi-attribute decision making multi-objective decision making soft computing techniques material selection
下载PDF
Multi-criteria assessment of offshore wind turbine support structures based on dynamic property optimization
4
作者 孟珣 Shi Ruifeng 《High Technology Letters》 EI CAS 2014年第4期421-428,共8页
Increasing size of wind turbine and deep water deployment have raised the issue of appropriate selection of the most suitable support structure to make offshore wind energy cost competitive.The paper presents an optim... Increasing size of wind turbine and deep water deployment have raised the issue of appropriate selection of the most suitable support structure to make offshore wind energy cost competitive.The paper presents an optimization methodology for decision making process of bottom mounted supports of offshore wind turbines (OWTs) through reasonable engineering attributes derivation.Mathematic models of support structures are reduced by the generalized single-degree-of-freedom theory with relatively fewer structural parameters.Soft-stiff design optimization based on dynamic properties of OWTs is performed for monopile and lattice supports with different wind turbines,water depth and hub height.Attributes of support structures,wind turbines and environment conditions are applied in the multi-criteria decision making method——TOPSIS for benchmarking of those options.The results illustrate the effectiveness of the proposed optimazation methodology combined with economical and environmental attributes together. 展开更多
关键词 offshore wind turbines (OWTs) support structure finite element method generalized single-degree-of-freedom (GSDOF) system dynamic property technique for order preference by similarity to ideal solution (TOPSIS) method
下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部