Optimal operation of multi-storage tank multi-source system based on storage policy

A two-stage method is developed to solve a new class of multi-storage tank multi-source （MTMS） systems. In the first stage, the optimal storage policy of each tank is determined according to the electricity tariff, and the ground-level storage tank is modeled as a node. In the second stage, the genetic algorithm, combined with a repairing scheme, is applied to solve the pump scheduling problem. The objective of the pump scheduling problem is to ensure that the required volume is adequately provided by the pumps while minimizing the operation cost （energy cost and treatment cost）. The decision variables are the settings of the pumps and speed ratio of variable-speed pumps at time steps of the total operational time horizon. A mixed coding methodology is developed according to the characteristics of the decision variables. Daily operation cost savings of approximately 11% are obtained by application of the proposed method to a pressure zone of S. Y. water distribution system （WDS）, China.     

Fuzzy finish time modeling for project scheduling

This research aims at developing a new fuzzy activity finish time estimation model for project scheduling management.With the application of the fuzzy quality function deployment （FQFD） and fuzzy analytic hierarchy process （FAHP） methods,the degree of fuzziness for every project activity is calculated in accordance with considerations of project uncertainties.These uncertainties are measured by the risk level of such project-related characteristics as time limit,activity start time,budget,manpower,technological difficulty,and facility requirements.In this paper,rather than applying the de-fuzzification technique to obtain the crisp activity duration for project scheduling,the fuzzy finish time estimation method for every activity is proposed based on the degree of fuzziness.The corresponding fuzzy activity duration time plot is also developed in a new fuzzy Gantt chart.The proposed model can provide a reasonable fuzzy finish time estimation for every activity,while most scheduling methods only provide the finish time of the entire project.Compared to existing models,this time estimation model and its corresponding Gantt chart are predicted to have higher reliability and practical application in project management and scheduling.     

关于简单线性恶化问题的平行机排序的一个全多项式逼近算法

In this paper, a parallel machine scheduling problem was considered , where the processing time of a job is a simple linear function of its starting time. The objective is to minimize makespan. A fully polynomial time approximation scheme for the problem of scheduling n deteriorating jobs on two identical machines was worked out. Furthermore, the result was generalized to the case of a fixed number of machines.     

No-cooperative games for multiple emergency locations in resource scheduling

When an emergency happens, the scheduling of relief resources to multiple emergency locations is a realistic and intricate problem, especially when the available resources are limited. A non-cooperative games model and an algorithm for scheduling of relief resources are presented. In the model, the players correspond to the multiple emergency locations, strategies correspond to all resources scheduling and the payoff of each emergency location corresponds to the reciprocal of its scheduling cost. Thus, the optimal results are determined by the Nash equilibrium point of this game. Then the iterative algorithm is introduced to seek the Nash equilibrium point. Simulation and analysis are given to demonstrate the feasibility and availability of the model.     

The Research of Strategies of the Loss of Fuzzy Beauty in Chinese-English Translation from the Perspective of Translation Aesthetics

Chinese is a language which emphasizes on artistic conception and parataxis. It embodies spirit in forms and gives read- ers enough space to think and abundant fuzzy beauty. Fuzziness is the mainstream. However, English is an logical language with strict grammar rules which embodies form in spirit. Fuzziness is tributary in English. As a result, it is inevitable to lose the fuzzy beauty during the course of translating from Chinese to English due to these two different languages with diverse value function and appreciation of the beauty. A lot of scholars feel pity and helpless. Starting from the perspective of translation beauty, this thesis an- alyzes the phenomenon of the loss of fuzzy beauty. It introduces the definition of the fuzzy beauty and makes a brief introduction of the wide existence of fuzzy beauty, analyzes the courses and reasons of the loss of fuzzy beauty in the course of translating Chinese to English . At last, it puts forward two specific methods to translate fuzzy beauty, trying to recreate the fuzzy beauty to the most de- gree.     

A vague-set-based fuzzy multi-objective decision making model for bidding purchase

A vague-set-based fuzzy multi-objective decision making model is developed for evaluating bidding plans in a bid- ding purchase process. A group of decision-makers (DMs) first independently assess bidding plans according to their experience and preferences, and these assessments may be expressed as linguistic terms, which are then converted to fuzzy numbers. The resulting decision matrices are then transformed to objective membership grade matrices. The lower bound of satisfaction and upper bound of dissatisfaction are used to determine each bidding plan’s supporting, opposing, and neutral objective sets, which together determine the vague value of a bidding plan. Finally, a score function is employed to rank all bidding plans. A new score function based on vague sets is introduced in the model and a novel method is presented for calculating the lower bound of sat- isfaction and upper bound of dissatisfaction. In a vague-set-based fuzzy multi-objective decision making model, different valua- tions for upper and lower bounds of satisfaction usually lead to distinct ranking results. Therefore, it is crucial to effectively contain DMs’ arbitrariness and subjectivity when these values are determined.     

基于参数自调整模糊神经网络的直接甲醇燃料电池电特性分析

This paper introduces the effects of cell operating temperature, methanol concentration and airflow rate, respectively, on the performance of direct methanol fuel cell （DMFC）. A novel method based on fuzzy neural networks identification technique is proposed to establish the performance model of DMFC. Three dynamic performance models of DMFC under the influences of cell operating temperature, methanol concentration, and airflow rate are identified and established separately. Simulation results show that modeling using fuzzy neural networks identification is satisfactory with high accuracy. It is applicable to DMFC control systems.     

Solving composite scheduling problems using the hybrid genetic algorithm

This paper dealt with composite scheduling problems which combine manufacturing scheduling problems and/or transportation routing problems.Two scheduling models were formulated as the elements of the composite scheduling model,and the composite model was formulated composing these models with indispensable additional constraints.A hybrid genetic algorithm was developed to solve the composite scheduling problems.An improved representation based on random keys was developed to search permutation space.A genetic algorithm based dynamic programming approach was applied to select resource.The proposed technique and a previous technique are compared by three types of problems.All results indicate that the proposed technique is superior to the previous one.     

Genetic algorithm for scheduling reentrant jobs on parallel machines with a remote server

This paper considers a reentrant scheduling problem on parallel primary machines with a remote server machine, which is required to carry out the setup operation. In this problem, each job has three operations. The first and last operations are performed by the same primary machine, implying the reentrance, and the second operation is processed on the single server machine. The order of jobs is predetermined in our context. The challenge is to assign jobs to the primary machines to minimize the makespan. We develop a genetic algorithm（GA） to solve this problem. Based on a simple strategy of assigning jobs in batches on the parallel primary machines, the standardized random key vector representation is employed to split the jobs into batches. Comparisons among the proposed algorithm, the branch and bound（BB） algorithm and the heuristic algorithm, coordinated scheduling（CS）, which is only one heuristic algorithm to solve this problem in the literature, are made on the benchmark data. The computational experiments show that the proposed genetic algorithm outperforms the heuristic CS and the maximum relative improvement rate in the makespan is 1.66%.     

Analytical solution for functionally graded anisotropic cantilever beam under thermal and uniformly distributed load

The bending problem of a functionally graded anisotropic cantilever beam subjected to thermal and uniformly dis-tributed load is investigated,with material parameters being arbitrary functions of the thickness coordinate. The heat conduction problem is treated as a 1D problem through the thickness. Based on the elementary formulations for plane stress problem,the stress function is assumed to be in the form of polynomial of the longitudinal coordinate variable,from which the stresses can be derived. The stress function is then determined completely with the compatibility equation and boundary conditions. A practical example is presented to show the application of the method.     

工程量清单计价模式下的模糊相似优先比快速估价

随着建筑市场的逐步规范,实行工程量清单计价已成为必然.从工程量清单计价的基本原理出发,分析影响各个工程量清单专业工程及措施项目的造价因素,建立模糊相似优先比模型,选取与工程量清单专业工程及措施项目最相似的项目,最后组合最相似项目得到建筑工程造价,其特点快速、准确,减少了人的主观性,具有一定的科学性和可靠性.     

网络闭环系统的离散模糊控制

针对网络控制系统(NCS)存在时延的情况下如何设计控制器问题,提出了一种新的网络闭环控制系统建模方法-离散模糊T-S模型,并在此模型的基础上应用平行分布补偿原理设计了NCS模糊控制器;应用Lyapunov理论和LMI方法,研究了系统的模糊稳定控制问题,给出了基于线性矩阵不等式的不依赖时滞的状态反馈模糊控制器的设计方法,并获得了NCS模糊控制的稳定充分条件为求解一组线性矩阵不等式;通过仿真验证了该控制方法的有效性。     

Properties of fuzzy hyperplanes

Some properties of closed fuzzy matroid and those of its hyperplanes are investigated. A fuzzy hyperplane property,which extends the analog of a crisp matroid from crisp set systems to fuzzy set systems, is proved.     

基于高阶模糊推理系统的曲线拟合研究

利用高阶模糊推理系统进行曲线拟合．首先构建高阶模糊推理系统模型,然后基于梯度下降的学习算法对高阶模糊推理系统模型的权值进行改进,最后进行曲线拟合,并与基于最小二乘的曲线拟合结果进行比较．结果表明,高阶模糊推理系统比基于最小二乘的曲线拟合具有更强的非线性处理能力,更适用于曲线拟合．     

基于新松弛条件的连续时间Takagi-Sugeno模糊系统镇定设计

研究了一类连续时间Takagi-Sugeno模糊系统的镇定控制器设计问题,提出了一种新的基于模糊Lya-punov函数和阶梯隶属度函数的系统镇定条件.通过阶梯隶属度函数逼近原系统的隶属度函数,系统隶属度函数信息被引入到其镇定设计中,从而大大降低了现有T-S模糊控制系统镇定设计的保守性.与已有基于模糊Lyapunov函数的连续T-S模糊系统的镇定设计不同,所提出的镇定条件不依赖于隶属度函数的导数,因此具有较少保守性.此外,所得镇定条件可表示为一组线性矩阵不等式,而不是双线性矩阵不等式,因而可以利用凸优化算法方便地进行求解.仿真实例表明了所提方法的有效性.     

Cloud e-learning service strategies for improving e-learning innovation performance in a fuzzy environment by using a new hybrid fuzzy multiple attribute decision-making model

The purpose of this study was to address this problem by applying a new hybrid fuzzy multiple criteria decision-making model including (a) using the fuzzy decision-making trial and evaluation laboratory (DEMATEL) technique to construct the fuzzy scope influential network relationship map (FSINRM) and determine the fuzzy influential weights of the fuzzy DEMATEL-based analytic network process (DANP) as well as (b) the modified VIKOR method combining fuzzy influential weights of fuzzy DANP to integrate each criterion of fuzzy performance gaps into dimensions and, overall, to examine the interdependent and feedback problems among various dimensions/criteria of cloud e-learning services for creating the excellent improvement plan based on the FSINRM to implement the strategic orientations. An empirical case of the network communication service industry was used as an example to show the proposed methods and ultimately present the most effective improvement plan for decision-makers to achieve the aspiration level.     

逆向需求模糊的多车辆集散货物路线问题

研究了一类新的车辆路线问题（VRP）——整合逆向物流的多车辆路线问题（MVRPRL）．该问题的特点是客户可以同时取货和发货,而且客户发货量是在路线安排前是不确定的．首先用三角模糊数表示客户发货量,建立了基于模糊置信度理论的多目标模型;然后设计了基于模拟的改进禁忌算法来求解该模型：用模拟的方法计算路线失败值,在路线搜索中采用路线内部改善和路线间改善两类邻域操作,而且采用了重起策略．计算结果表明该方法优于传统的扫描算法,整合逆向物流的运输费用比正逆向分别运输之和减少了43％．     

基于模糊分类规则树的文本分类

针对传统的基于关联规则的文本分类方法在分类文本时需要遍历分类器中的所有规则,分类效率非常低的问题,提出一种基于模糊分类规则树（FCR-tree）的文本分类方法.分类器中的规则以树的形式存储,由于树型结构避免了重复结点的存储,节省了存储空间.模糊分类关联规则与一般分类规则相比,不仅包含了词条信息,还包含了词条出现频度对应的模糊集,所以FCR-tree的构建过程及树的结构不同于一般规则树CR-tree.为降低构建及遍历FCR-tree的难度,采用了构造多棵k-FCR-tree的方法.在搜索规则树时,如果结点中的词条没在待分类文本中出现,则不需要再搜索该结点引导的子树,大大减少了需要匹配的规则的数量.实验表明该方法是可行的,与遍历分类器的分类方法相比,分类效率有了明显提高.     

Complete fuzzy scheduling and fuzzy earned value management in construction projects

This paper aims to present a comprehensive proposal for project scheduling and control by applying fuzzy earned value. It goes a step further than the existing literature: in the formulation of the fuzzy earned value we consider not only its duration, but also cost and production, and alternatives in the scheduling between the earliest and latest times. The mathematical model is implemented in a prototypical construction project with all the estimated values taken as fuzzy numbers. Our findings suggest that different possible schedules and the fuzzy arithmetic provide more objective results in uncertain environments than the traditional methodology. The proposed model allows for controlling the vagueness of the environment through the adjustment of the α-cut, adapting it to the specific circumstances of the project.     

一种基于模糊语言标度和FIOWGA算子的决策方法

给出了一种用于方案比较的模糊语言标度，并用定义在区间[1／9，9]上的三角模糊数表示其数值含义．利用该标度构造语言偏好矩阵，给出了一种集结语言偏好信息的模糊导出的有序加权几何平均(FIOWGA)算子，并提出了一种基于模糊语言标度和FIOWGA算子的决策方法．最后，通过算例对方法的可行性和有效性进行了说明．