The function of the air target threat evaluation （TE） is the foundation for weapons allocation and senor resources management within the surface air defense. The multi-attribute evaluation methodology is utilized to...The function of the air target threat evaluation （TE） is the foundation for weapons allocation and senor resources management within the surface air defense. The multi-attribute evaluation methodology is utilized to address the issue of the TE in which the tactic features of the detected target are treated as evaluation attributes. Meanwhile, the intuitionistic fuzzy set （IFS） is employed to deal with information uncertainty in the TE process. Furthermore, on the basis of the entropy weight and inclusion-comparison probability, a hybrid TE method is developed. In order to accommodate the demands of naturalistic decision making, the proposed method allows air defense commanders to express their intuitive opinions besides incorporating into the threat features of the detected target. An illustrative example is provided to indicate the feasibility and advantage of the proposed method.展开更多
A method for solving the winner determination problem （WDP） in multi-attribute procurement auctions is proposed, based on technical and business experts＇ evaluation information. Firstly, on the background of procur...A method for solving the winner determination problem （WDP） in multi-attribute procurement auctions is proposed, based on technical and business experts＇ evaluation information. Firstly, on the background of procurements in China, a multi-attribute pro- curement auction mechanism is presented, where technical and business experts participate in the bid evaluation. Then, the concept of TOPSIS is used to determine the positive and negative ideal points of the WDP according to bid prices, the technical and business experts＇ evaluation information. Further, the closeness coefficient of each bidder （candidate supplier） is obtained by calculating the distances to the positive and negative ideal points. Thus, the winning supplier can be determined according to the closeness coefficients. Finally, a numerical example is used to illustrate the use of the proposed method.展开更多
Water resource allocation was defined as an input-output question in this paper, and a preliminary input-output index system was set up. Then GEM （group eigenvalue method）-MAUE （multi-attribute utility theory） mod...Water resource allocation was defined as an input-output question in this paper, and a preliminary input-output index system was set up. Then GEM （group eigenvalue method）-MAUE （multi-attribute utility theory） model was applied to evaluate relative efficiency of water resource allocation plans. This model determined weights of indicators by GEM, and assessed the allocation schemes by MAUE. Compared with DEA （Data Envelopment Analysis） or ANN （Artificial Neural Networks）, the mode was more applicable in some cases where decision-makers had preference for certain indicators展开更多
Decision Making Trial and Evaluation Laboratory(DEMATEL)method is a powerful tool for understanding and visualizing the causal relationships among factors in complex decision-making problems.The method uses diagrams a...Decision Making Trial and Evaluation Laboratory(DEMATEL)method is a powerful tool for understanding and visualizing the causal relationships among factors in complex decision-making problems.The method uses diagrams and matrixes to map out the causal relationships and interdependencies among factors,allowing decision-makers to identify key drivers and potential solutions to the problem.DEMATEL has a wide range of application areas,including supply chain management,environmental planning,healthcare,finance,and engineering,among others.The DEMATEL method is a valuable tool for decision-makers who need to understand the complex causal relationships among factors in order to make informed decisions.The method provides a structured approach for analyzing and prioritizing factors and for identifying potential solutions to complex problems.This paper describes the main features of this method,its application areas as well as the main process steps in the DEMATEL method.展开更多
在许多应用中,Top-k是一种十分重要的查询类型,它在潜在的巨大数据空间中返回用户感兴趣的少量数据.Top-k查询通常具有指定的多维选择条件.分析发现:现有算法无法有效处理海量数据的多维选择Top-k查询.提出了一个基于有序列表的TMS(top-...在许多应用中,Top-k是一种十分重要的查询类型,它在潜在的巨大数据空间中返回用户感兴趣的少量数据.Top-k查询通常具有指定的多维选择条件.分析发现:现有算法无法有效处理海量数据的多维选择Top-k查询.提出了一个基于有序列表的TMS(top-k with multi-dimensional selection)算法,有效计算海量数据上的具有多维选择的Top-k结果.TMS算法利用层次化结构的选择属性网格对原数据表执行水平划分,每一个分片的元组以面向列的模式存储,并且度量属性的列表根据其属性值降序排列.给定多维选择条件,TMS算法利用选择属性网格确定相关网格单元,有效减少需要读取的元组数量,提出双排序方法执行多维选择的渐进评价,并提出有效剪切操作来剪切不满足多维选择条件和分数要求的候选元组.实验结果表明:TMS算法性能优于现有算法.展开更多
为了增加网络吞吐量并改善用户体验,提出一种基于Q学习(Q-learning)的多业务网络选择博弈(Multi-Service Network Selection Game based on Q-learning,QSNG)策略。该策略通过模糊推理和综合属性评估获得多业务网络效用函数,并将其用作Q...为了增加网络吞吐量并改善用户体验,提出一种基于Q学习(Q-learning)的多业务网络选择博弈(Multi-Service Network Selection Game based on Q-learning,QSNG)策略。该策略通过模糊推理和综合属性评估获得多业务网络效用函数,并将其用作Q-learning的奖励。用户通过博弈算法预测网络选择策略收益,避免访问负载较重的网络。同时,使用二进制指数退避算法减少多个用户并发访问某个网络的概率。仿真结果表明,所提策略可以根据用户的QoS需求和价格偏好自适应地切换到最合适的网络,将其与基于强化学习的网络辅助反馈(Reinforcement Learning with Network-Assisted Feedback,RLNF)策略和无线网络选择博弈(Radio Network Selection Games,RSG)策略相比,所提策略可以分别减少总切换数量的80%和60%,使网络吞吐量分别提高了7%和8%,并且可以保证系统的公平性。展开更多
To satisfy the requirements of high energy density,high power density,quick response and long lifespan for energy storage systems(ESSs),hybrid energy storage systems(HESSs)have been investigated for their complementar...To satisfy the requirements of high energy density,high power density,quick response and long lifespan for energy storage systems(ESSs),hybrid energy storage systems(HESSs)have been investigated for their complementary characteristics of‘high energy density components’and‘high power density components’.To optimize HESS combinations,related indices such as annual cost,fluctuation smoothing ability as well as safety and environmental impact have to be evaluated.The multiattribute utility method investigated in this paper is aimed to draw an overall conclusion for HESS allocation optimization in microgrid.Building on multi-attribute utility theory,this method has significant advantages in solving the incommensurability and contradiction among multiple attributes.Instead of determining the weights of various attributes subjectively,when adopting the multi-attribute utility method,the characteristics of attributes and the relation among them can be investigated objectively.Also,the proper utility function and merging rules are identified to achieve the aggregate utility which can reflect comprehensive qualities of HESSs.展开更多
基金supported by the National Natural Science Foundation of China (70871117 70571086)the Development Foundation of Dalian Naval Academy
文摘The function of the air target threat evaluation （TE） is the foundation for weapons allocation and senor resources management within the surface air defense. The multi-attribute evaluation methodology is utilized to address the issue of the TE in which the tactic features of the detected target are treated as evaluation attributes. Meanwhile, the intuitionistic fuzzy set （IFS） is employed to deal with information uncertainty in the TE process. Furthermore, on the basis of the entropy weight and inclusion-comparison probability, a hybrid TE method is developed. In order to accommodate the demands of naturalistic decision making, the proposed method allows air defense commanders to express their intuitive opinions besides incorporating into the threat features of the detected target. An illustrative example is provided to indicate the feasibility and advantage of the proposed method.
基金supported by the National Natural Science Foundation of China(7127105171371002+1 种基金71471032)the Fundamental Research Funds for the Central Universities,NEU,China(N140607001)
文摘A method for solving the winner determination problem （WDP） in multi-attribute procurement auctions is proposed, based on technical and business experts＇ evaluation information. Firstly, on the background of procurements in China, a multi-attribute pro- curement auction mechanism is presented, where technical and business experts participate in the bid evaluation. Then, the concept of TOPSIS is used to determine the positive and negative ideal points of the WDP according to bid prices, the technical and business experts＇ evaluation information. Further, the closeness coefficient of each bidder （candidate supplier） is obtained by calculating the distances to the positive and negative ideal points. Thus, the winning supplier can be determined according to the closeness coefficients. Finally, a numerical example is used to illustrate the use of the proposed method.
文摘Water resource allocation was defined as an input-output question in this paper, and a preliminary input-output index system was set up. Then GEM （group eigenvalue method）-MAUE （multi-attribute utility theory） model was applied to evaluate relative efficiency of water resource allocation plans. This model determined weights of indicators by GEM, and assessed the allocation schemes by MAUE. Compared with DEA （Data Envelopment Analysis） or ANN （Artificial Neural Networks）, the mode was more applicable in some cases where decision-makers had preference for certain indicators
文摘Decision Making Trial and Evaluation Laboratory(DEMATEL)method is a powerful tool for understanding and visualizing the causal relationships among factors in complex decision-making problems.The method uses diagrams and matrixes to map out the causal relationships and interdependencies among factors,allowing decision-makers to identify key drivers and potential solutions to the problem.DEMATEL has a wide range of application areas,including supply chain management,environmental planning,healthcare,finance,and engineering,among others.The DEMATEL method is a valuable tool for decision-makers who need to understand the complex causal relationships among factors in order to make informed decisions.The method provides a structured approach for analyzing and prioritizing factors and for identifying potential solutions to complex problems.This paper describes the main features of this method,its application areas as well as the main process steps in the DEMATEL method.
文摘在许多应用中,Top-k是一种十分重要的查询类型,它在潜在的巨大数据空间中返回用户感兴趣的少量数据.Top-k查询通常具有指定的多维选择条件.分析发现:现有算法无法有效处理海量数据的多维选择Top-k查询.提出了一个基于有序列表的TMS(top-k with multi-dimensional selection)算法,有效计算海量数据上的具有多维选择的Top-k结果.TMS算法利用层次化结构的选择属性网格对原数据表执行水平划分,每一个分片的元组以面向列的模式存储,并且度量属性的列表根据其属性值降序排列.给定多维选择条件,TMS算法利用选择属性网格确定相关网格单元,有效减少需要读取的元组数量,提出双排序方法执行多维选择的渐进评价,并提出有效剪切操作来剪切不满足多维选择条件和分数要求的候选元组.实验结果表明:TMS算法性能优于现有算法.
文摘为了增加网络吞吐量并改善用户体验,提出一种基于Q学习(Q-learning)的多业务网络选择博弈(Multi-Service Network Selection Game based on Q-learning,QSNG)策略。该策略通过模糊推理和综合属性评估获得多业务网络效用函数,并将其用作Q-learning的奖励。用户通过博弈算法预测网络选择策略收益,避免访问负载较重的网络。同时,使用二进制指数退避算法减少多个用户并发访问某个网络的概率。仿真结果表明,所提策略可以根据用户的QoS需求和价格偏好自适应地切换到最合适的网络,将其与基于强化学习的网络辅助反馈(Reinforcement Learning with Network-Assisted Feedback,RLNF)策略和无线网络选择博弈(Radio Network Selection Games,RSG)策略相比,所提策略可以分别减少总切换数量的80%和60%,使网络吞吐量分别提高了7%和8%,并且可以保证系统的公平性。
基金supported by Science and Technology Foundation of State Grid Corporation of China (No.520940120036)the Key Project of the National Twelfth-Five Year Research Programme of China (No.2013BAA01B04)
文摘To satisfy the requirements of high energy density,high power density,quick response and long lifespan for energy storage systems(ESSs),hybrid energy storage systems(HESSs)have been investigated for their complementary characteristics of‘high energy density components’and‘high power density components’.To optimize HESS combinations,related indices such as annual cost,fluctuation smoothing ability as well as safety and environmental impact have to be evaluated.The multiattribute utility method investigated in this paper is aimed to draw an overall conclusion for HESS allocation optimization in microgrid.Building on multi-attribute utility theory,this method has significant advantages in solving the incommensurability and contradiction among multiple attributes.Instead of determining the weights of various attributes subjectively,when adopting the multi-attribute utility method,the characteristics of attributes and the relation among them can be investigated objectively.Also,the proper utility function and merging rules are identified to achieve the aggregate utility which can reflect comprehensive qualities of HESSs.
