面向电子采购的多属性拍卖模型

所述的多属性拍卖模型基于买方为主的电子采购模式,即采购方在互联网上发布所需采购产品目录,供应商在采购方的网站上登录符合条件的产品信息供采购方评估,双方通过采购方的电子采购系统进行信息交流,并在假设条件下,采取不同策略完成交易.根据模型设计标准,假设包括:商品结构为多属性多个同类商品,采购方的底价及其他属性的效用函数对于供应商来说不可见,采购方公开偏好属性列表,每一属性都具有可谈判性或不可谈判性,采购方边际效用为零.     

LBAS: An effective pricing mechanism towards video migration in cloud-assisted VoD system

Migrating video instances to cloud to form a cloud-assisted VoD system is an efficient way to solve the problem of increasing costs in the traditional VoD system. In this paper, we focus on further decreasing the costs in this system. We propose a pricing mechanism named LBAS to allocate video instances from VoD provider’s local servers to cloud platforms. First, a pricing algorithm which conforms to the principle of market is presented to determine the price of each video instance. Then, an auction algorithm which is based on low bid and replaceable instances is proposed to determine the allocation and payment of video instances. At last, in order to avoid the collusion among bidders in low-bid auction, the AEM algorithm is improved. The simulation results demonstrate that the proposed mechanism makes the VoD provider decrease 10% of the costs compared with the VMC strategy.     

A partial binary tree DEA-DA cyclic classification model for decision makers in complex multi-attribute large-group interval-valued intuitionistic fuzzy decision-making problems

This paper proposes the idea of combining “interest groups” with the practical decision information to classify the decision makers (DMs) in complex multi-attribute large-group decision-making (CMALGDM) problems in interval-valued intuitionistic fuzzy (IVIF) environment. It constructs a partial binary tree DEA-DA cyclic classification model to achieve the multiple groups’ classification of DMs. Not only does this method provide references for the classification of DMs when the decision information is known, but it also lays foundations for DMs’ effective weight determination and the aggregation of decision information. First, this paper normalizes all of the cost attributes into benefit attributes to avoid the wrong decision result. Second, it employs the C-OWA operator to transform IVIF number (IVIFN) samples into single-valued samples. With respect to this transformation, this paper provides the corresponding BUM functions of DMs according to their risk attitudes; therefore, the preference information of DMs can be more objectively aggregated. Third, this paper adopts the partial binary tree DEA-DA cyclic classification model to present an accurate classification of DMs. Thus, for each interest group, group members with different interest preferences can be distinguished and distributed to the appropriate groups. Finally, to show the feasibility and validity of the model, we give an illustrative example.     

Use of fuzzy sets in developing code risk factors

Fuzzy set theory is used to produce risk factor values for a building code. Working through reliability indices, a transformation is developed to convert estimates of relative social importance of a building into code load factors. The importance estimates are found by surveying knowledgeable members of society or playing their roles, and by using fuzzy set theory to combine their views according to their significance. An extension, again using fuzzy set theory, brings in the use of multiple criteria on which to base judgements. An example gives risk factors close to those in an existing code.     

塔河油田奥陶系碳酸盐岩储层预测新进展

经过多年的理论研究与生产实践相结合,在塔河油田奥陶系碳酸盐岩缝洞型储层预测方面取得了丰富的成果,形成了一系列的方法技术。近两年又创新推广了新技术趋势面法的应用,对一些前期成熟技术进行了发展与延伸,如本征值精细相干,并且加强了多方法的联合应用,取得了较好的效果。     

不确定信息下基于拍卖算法的多无人机同时到达攻击多目标

针对不确定信息下的多无人机同时到达攻击多目标的控制策略问题,将拍卖算法和区间一致性算法相结合,提出了不确定信息下的多无人机同时到达的控制方法。首先通过拍卖算法,给出了多无人机对多目标的任务分配方法;然后定义了区间一致性算法,提出了不确定信息下的多无人机同时到达的控制方法,实现了多无人机到达多目标的时间上趋于一致;最后进行仿真,验证了该方法的可行性和有效性。     

基于信息熵的模糊多属性决策方法在装甲团作战方案优选中的应用

针对装甲团作战方案优选中属性值为模糊数的模糊多属性决策问题,提出一种基于信息熵的模糊多属性决策方法。运用信息熵求出各属性权重,利用简单加权法来计算方案的模糊效用值,根据梯形模糊数的期望值排序方法对方案进行排序和择优。实例表明,基于信息熵的模糊多属性决策方法科学有效、计算简便,能为指挥员优选作战方案提供参考。     

HNLOWA集成算法应用于推荐系统评估

针对复杂决策环境下的决策者倾向于使用定性评价数据和现实环境中数据信息通常存在正态分布规律的问题,构建了基于犹豫正态语言有序加权平均（hesitant normal linguistic ordered weighted average,HNLOWA）算子的决策模型。将正态模糊数和犹豫模糊语言元相结合,引入了犹豫正态语言元（hesitant normal linguistic element,HNLE）的概念,其不仅能够运用语言变量来描述决策信息,还能传递出语言决策信息的分布情况;定义了HNLE之间的基本运算法则和大小判别准则,并设计HNLOWA算子用于对HNLE进行信息融合,同时探究了HNLOWA算子的相关性质;构建了基于HNLOWA集成算子的多属性决策方法,并运用推荐系统选择评估案例进行了模型的验证分析。     

多AUVS协作分布式控制

多水下机器人系统中机器人之间的协调、协作问题的解决是多机器人系统走向实际应用的基本前提之一.针对多机器人协作问题,讨论了一种称为"市场"框架的多水下机器人系统分布式控制方法,给出了基本的假设、概念和优化过程,并在理论上对该框架的收敛性以及计算复杂度控制等基本特性进行了分析和证明.数值模拟主要针对该框架的优化能力、计算复杂度控制以及容错能力等方面进行了深入的试验分析.其结果与基于GA的集中式控制方法对比表明,基于"市场"框架的多水下机器人分布式控制方法与传统的集中控制方法相比具有更好的优化结果和更短的解算时间.