一种利用神经网络改善判断矩阵一致性的方法

针对层次分析法中判断矩阵致性改进问题,提出了一种利用神经网络改善判断矩阵一致性的方法.本文在建立了BP神经网络模型的基础上,把判断矩阵一致性调整问题转化为BP神经网络的多输入多输出求解问题.经BP神经网络算法调整过的判断矩阵再返回给专家进一步调整使其符合萨迪标度.计算实例表明,此种方法是可行的.     

再使用产品质量特性的确定

针对停用后的产品技术状态模糊,有些质量特性很难确定的问题,提出了用模糊综合评价法确定再使用产品的质量特性,为了提高再使用产品质量特性确定的准确度,更充分利用专家的智能,对模糊综合评价法作了改进,分为两个阶段,先由权威专家确定语言值,再由普通专家在相应的模糊集内评估.案例表明改进后的方法可以有效可行地确定再使用产品质量特性.     

三角模糊数互补判断矩阵的一种排序方法及其在项目投资决策中的应用

引入Y ager第三指标将模糊数非模糊化,将专家判断矩阵中的三角模糊数转化成精确数,再利用精确数互补判断矩阵的排序方法进行排序.并通过实例说明了方法的可行性和有效性.     

Research on Compatibility and Consistency of Combination Judgment Matrices with Multi-granularity Linguistic Terms Based on 1-LIOWA Operators

定义了多粒度语言判断矩阵的基于专家重要性的语言诱导有序加权平均(I-LIOWA)算子的概念,利用I-LIOWA算子集结基于不同粒度语言判断矩阵而得到组合语言判断矩阵,并且研究了组合语言判断矩阵、其导出矩阵和特征矩阵的之间相容性和一致性的一些性质,为群决策中使用语言偏好信息提供了理论依据.     

缠绕趣题一例

解缠绕题的关键是把空间几何问题转化为平面几何题,但对初中生来说,由于空间想象能力还不完善,所以转化成怎样的平面图形也就成了这类问题的难点.同学们动手实践,利用模型边感知、边认识、边转化.转化成平面图形后,还应能准确判断原题中隐含的对应关系,再利用解直角三角形的知识,此类问题就很容易得到解决.     

两阶段再制造企业的产品定价研究

二手产品的回收再处理是众多制造商和再制造商不得不面对的问题.企业根据实际情况,考虑到顾客对再制造产品的认知差异,一般都是先翻新产品然后再升级再制造产品,因此,顾客对再制造产品的接受程度影响着再制造企业的定价决策,针对该问题构建了一个两阶段模型,其中第一阶段再制造企业将回收的产品进行简单翻新并投放市场;第二阶段,则会将产品拆卸加工再升级.以两阶段的价格作为决策变量分析再制造企业的最优生产策略.通过仿真得出结论,为再制造企业的生产决策提供一些依据.     

DEA效率分解与规模收益评价

使用输出DEA模型CCR、BCC、FG、ST和WY给出了整体效率的四种分解公式,并利用分解公式判别决策单元规模收益状况(包括拥挤),是对前人研究的整体效率分解公式的一种推广和应用.使用输出DEA模型CCR相对于WY的效率分解公式,可以判断决策单元是否为规模收益不变;使用BCC相对于WY的效率分解公式,可以判别是否出现拥挤.联合使用输出DEA模型FG相对于WY的效率分解公式,和ST相对于WY的效率分解公式,可以判断决策单元是否为规模收益递增、不变、递减或拥挤.     

一种基于不同粒度语言判断矩阵的群决策模型

研究了方案判断矩阵为不同粒度语言判断矩阵和专家权重为语言标度的群决策问题.通过拓展相关文献中建立的转换函数的使用范围,将专家给出的不同粒度语言判断矩阵转化为互补判断矩阵,并证明了转化的合理性,同时,将专家语言权重向量转化为数值单位权重向量.然后,利用积型一致性互补性判断矩阵和互补判断矩阵的排序向量之间的偏差,建立一个非线性规划模型,求出互补判断矩阵的排序向量,根据合成矩阵的排序向量实现方案的排序择优.最后,通过一个实例来说明方法的可行性与有效性.     

一类解三角形问题的再一解法

在历年高考中,解三角形是考查的重点,教材上归纳的已知两角及任一边利用正弦定理解三角形,以及利用余弦定理解三角形,解均唯一,学生不难掌握.而对于已知三角形的两边和其中一边的对角,判断三角形解的个数却是学生学习中的难点.教材先通过三个例题的学习,再利用图解法进行总结与     

战场敌情威胁的多级模糊综合评判

敌情威胁程度的判断是定下作战决心的基础.提出利用多级模糊综合评判的方法,首先利用层次分析法(AHP法)综合专家的判断,建立权重集,然后利用模糊综合评判理论对对战场某一指定区域的模糊敌情进行威胁程度判断,从而将两种方法的优点综合起来.并给出了一个应用该方法的海区模糊敌情判断实例,结论说明该方法可行.     

Optimal Short Horizon Distribution Operations in Reusable Container Systems

Manufacturers in many countries are facing increasing market pressures to use returnable containers. Few studies address the day-to-day operational problems of controlling production and distribution that are inherent in closed systems that reuse containers. In this paper we present a formulation of an optimal configuration of this type of system. In particular, we model the reusable bottle production and distribution activities of a large soft drink manufacturer located in Mexico City, Mexico. Two types of operational research models are combined to form the overall optimization system. A pair of linear programs (one aggregated, the other disaggregated) determines a master plan that is subsequently fined-tuned on a shift-by-shift basis using a difference equation simulation model. The simulation model mimics the heuristic ‘rules of thumb’ used by production planners for product distribution and container reuse planning. The results of our study indicate that this formulation provides a timely response in the field to key operational problems addressed by no previous approach. Included are better organizational control (through providing one-week production and distribution plans), feedback allowing modification of heuristic rules previously used in controlling the distribution of product and container reuse, and improvement in inventory behaviour such as avoiding shortages. These improvements have resulted in considerable market share gains since the models were implemented.     

Optimal and self-tuning optimal control of a periodic-review hybrid production inventory system

In this paper, a periodic-review dynamic production inventory system for a single reusable product is investigated. There are two stocks, one for the serviceable items and one for the remanufactured ones. We assume that the items in either stock may be subject to deterioration. Items deterioration is of great importance to inventory theory. An optimal control is derived in the case where the deterioration parameters are known and a self-tuning optimal control strategy is applied in the case where the deterioration parameters are unknown. In particular, the recursive least-squares (RLS) method is used to identify the deterioration parameters. Simulations are conducted to illustrate the results obtained.     

IBM journey management library: an arena system for airport simulations

Airline passenger terminal congestion caused by increasing passenger traffic results in unsatisfactory levels of customer service. We discuss a simulation modelling tool to help airlines and airports to use advanced technology to improve service to passengers. The tool consists of custom designed, reusable modules that represent the most common airline and airport system data, logic and processes. A model of an actual airline operation based on this approach is described.     

Reusable fuzzy extractor from the decisional Diffie–Hellman assumption

Fuzzy extractors convert noisy non-uniform readings of secret sources into reliably reproducible, uniformly random strings, which in turn are used in cryptographic applications. Reusable fuzzy extractor allows multiple uses of the same secret source. In this paper, we construct the first strongly reusable fuzzy extractor which tolerates linear fraction of errors, with security tightly reduced to the decisional Diffie–Hellman (DDH) assumption in the standard model. Our construction is simple and efficient. Only two group operations and an evaluation of a hash function are added compared with the traditional construction of non-reusable fuzzy extractors.     

Container fleet-sizing for part transportation and storage in a two-level supply chain

This research addresses the fleet-sizing of containers that are used for the protection, transportation, and storage of parts between a component plant and multiple assembly plants. These containers are needed for the storage of completed parts as they are produced, and also for storage of parts as they are used in assembly. The containers are reusable, expensive, occupy a large amount of space when empty or full, and are required to maintain production. An analytical model is developed for the minimum container fleet size that results in no production stoppages due to lack of containers assuming no system variability. The model considers the discrete nature of part production and shipping as well as differences in available production and transportation time. The model is shown to be accurate and provides insight into the factors that affect container fleet size and production stoppage trade-offs.     

Reusable components in decision tree induction algorithms

We propose a generic decision tree framework that supports reusable components design. The proposed generic decision tree framework consists of several sub-problems which were recognized by analyzing well-known decision tree induction algorithms, namely ID3, C4.5, CART, CHAID, QUEST, GUIDE, CRUISE, and CTREE. We identified reusable components in these algorithms as well as in several of their partial improvements that can be used as solutions for sub-problems in the generic decision tree framework. The identified components can now be used outside the algorithm they originate from. Combining reusable components allows the replication of original algorithms, their modification but also the creation of new decision tree induction algorithms. Every original algorithm can outperform other algorithms under specific conditions but can also perform poorly when these conditions change. Reusable components allow exchanging of solutions from various algorithms and fast design of new algorithms. We offer a generic framework for component-based algorithms design that enhances understanding, testing and usability of decision tree algorithm parts.     

Object-oriented Design of Reusable Model Libraries of Hybrid Dynamic Systems – Part One: A Design Methodology

An object-oriented methodology for the design of reusable model libraries, dedicated to the composition of hybrid simulation models, is proposed. It takes into consideration all the phases of the library life cycle: design, programming, maintenance, modifications, extension, etc. The methodology distinguishes between the role of the library designers and the role of the library users. One of its main goals is guaranteeing that the users are able to use the libraries without having to know their internal details. In particular, users should not be confronted with numerical problems. The library designers should guarantee the numerical efficiency of the models based on the library predefined-models. In this respect, some of the numerical aspects of the model library design are discussed. The concept of library design rules is introduced as the cornerstone of the proposed methodology.     

Solid-Waste Disposal with Intermediate Transfer Stations: An Application of the Fixed-Charge Location Problem

This paper examines the problem of urban solid-waste disposal by landfill. In such disposal, intermediate transfer stations are often used for processing before transport to the landfill. Located at the periphery of waste-generating areas, these transfer stations can compact or recover reusable materials, or merely transfer the waste to heavier and more efficient transporters for the longer, final leg of the trip to the disposal site. The model presented here optimizes disposal costs by trading off transportation costs against the capital and operating costs of introducing the transfer stations. A branch-and-bound procedure is used to obtain the optimum, and an imbedded simplex code serves to provide the solution at each branch.     

A heuristic methodology for sizing a large-scale system of constrained, reusable resources

This paper proposes a methodology for sizing certain large-scale systems of reusable, capacity-constrained resources engaged in tasks of varying duration. A heuristic program schedules resources throughout a finite planning horizon using two decision variables: varying resource capacity for meeting demand and varying task duration. A model of the problem and heuristic scheduling program are presented. A sequential, iterative sizing procedure determines the number of system resources to meet demand at each stage of the problem. Results compare the methodology with heuristics used in practice to schedule resources and size a real-world, large-scale training system.     

融合两阶段过程模型和改进Bass模型的网络社交平台上产品信息扩散研究

提出并验证了融合两阶段过程模型和改进Bass模型的网络社交平台上产品信息扩散模型。考虑用户转发动机构建产品信息扩散两阶段过程模型;考虑用户兴趣衰减效应改进Bass模型;融合这两个模型,考虑产品信息发布者明星效应、产品信息质量对产品信息扩散的影响,提出了产品信息扩散模型。以2019年11～12月新浪电影发布的电影预告片转发数据验证了所提模型,并与Bass模型进行了比较。结果表明,用户转发动机和用户兴趣衰减效应对产品信息扩散均有显著影响,所提模型的预测精度和拟合效果均优于Bass模型。所提模型可用于存在不同转发动机及具有衰减效应的其他信息转发量预测,尤其适合于在产品信息投放前期和早期对转发量的预测,是对信息扩散模型的补充。