Ranking Method for Complementary Judgment Matrixes with Fuzzy Numbers Based on Hausdorff Metric Distance

A method for ranking complementary judgment matrixes with traspezoidal fuzzy numbers based on Hausdorff metric distance and fuzzy compromise decision approach is proposed. With regard to fuzzy number complementary judgment matrixes given by a decider group whose members have various weights, the expert＇s information was aggregated first by means of simple weight average（SWA） method and Bonissone calculational method. Hence a matrix including all the experts＇ preference information was got. Then the matrix＇ column members were added up and the fuzzy evaluation values of the alternatives were got. Lastly, the Hausdorff metric distance and fuzzy compromise decision approach were used to rank the fuzzy evaluation values and then the ranking values of all the alternatives were got. Because exact numbers and triangular fuzzy numbers could all be transformed into trapezoidal fuzzy numbers, the method developed can rank complementary judgment matrixes with trapezoidal fuzzy numbers, triangular fuzzy numbers and exact numbers as well. An illustrative example is also given to verify the developed method and to demonstrate its feasibility and practicality.     

Fuzzy optimization of space frame

Fuzzy concepts are introduced into structural optimization to solve fuzzy optimization problems with a crisp objective function and fuzzy constraints,also a non-membership function is used to convert fuzzy constrains into crisp constrains.Two models are discussed where the objective function considered is the volume of space frame and the fuzzy constrains are design limits by the axial strength.slenderness.deflection.thickness and diameter of space frame member.     

Adaptive fuzzy controllers based on variable universe

Adaptive fuzzy controllers by means of variable universe are proposed based on interpolation forms of fuzzy control. First, monotonicity of control rules is defined, and it is proved that the monotonicity of interpolation functions of fuzzy control is equivalent to the monotonicity of control rules. This means that there is not any contradiction among the control rules under the condition for the control rules being monotonic. Then structure of the contraction-expansion factor is discussed. At last, three models of adaptive fuzzy control based on variable universe are given which are adaptive fuzzy control model with potential heredity, adaptive fuzzy control model with obvious heredity and adaptive fuzzy control model with successively obvious heredity.     

Fuzzy controller based on chaos optimal design and its application

In order to overcome difficulty of tuning parameters of fuzzy controller, a chaos optimal design method based on annealing strategy is proposed. First, apply the chaotic variables to search for parameters of fuzzy controller, and transform the optimal variables into chaotic variables by carrier-wave method. Making use of the intrinsic stochastic property and ergodicity of chaos movement to escape from the local minimum and direct optimization searching within global range, an approximate global optimal solution is obtained. Then, the chaos local searching and optimization based on annealing strategy are cited, the parameters are optimized again within the limits of the approximate global optimal solution, the optimization is realized by means of combination of global and partial chaos searching, which can converge quickly to global optimal value. Finally, the third order system and discrete nonlinear system are simulated and compared with traditional method of fuzzy control. The results show that the new chaos optimal design method is superior to fuzzy control method, and that the control results are of high precision, with no overshoot and fast response.     

Agent Belief with Credibility and Its Revision Mechanism

An approach to characterize the credibility of beliefs of an agent is proposed in this paper, which can define the uncertainty of beliefs, calculation rules and inference rules about credibility and a method for belief revision based on abductive reasoning is also given. When an agent receives some new information, if the new information is consistent with the current belief set, then incorporate this new information with an appropriate credibility, otherwise the choice will be different depending on the characters of agents, and the deliberated agents will choose the belief with a better explanation under the current belief set. Removing one belief may cause the removal of those beliefs that, together with others, logically entail the formula to be removed. A method based on abduction is proposed to solve these problems.     

Variable Parameter Self-Adaptive Control Strategy Based on Driving Condition Identification for Plug-In Hybrid Electric Bus

A variable parameter self-adaptive control strategy based on driving condition identification is proposed to take full advantage of the fuel saving potential of the plug-in hybrid electric bus (PHEB). Firstly, the principal component analysis (PCA) and the fuzzy c-means clustering(FCM)algorithm is used to construct the comprehensive driving cycle, congestion driving cycle, urban driving cycle and suburban driving cycle of Chinese urban buses.Secondly, an improved particle swarm optimization (IPSO) algorithm is proposed, and is used to optimize the control parameters of PHEB under different driving cycles, respectively. Then, the variable parameter self-adaptive control strategy based on driving condition identification is given.Finally, for an actual running vehicle, the driving condition is identified by relevance vector machine (RVM), and the corresponding control parameters are selected to control the vehicle. The simulation results show that the fuel consumption of using the variable parameter self-adaptive control strategy is reduced by 4.2% compared with that of the fixed parameter control strategy, and the feasibility of the variable parameter self-adaptive control strategy is verified.     

Angular velocity dynamics identification of small unmanned helicopter using fuzzy model

Attitude identification method for unmanned helicopter based on fuzzy model at hovering is presented.The dynamical attitude model is considered as basis for attitude control and it is very complex.To reduce the complexity of model,nonlinear model of unmanned helicopter with unknown parameters are to be determined by fuzzy system first and then derivative based gradient method is used to identify unknown parameters of model.Gradient method is used due to ability that fuzzy system is not necessarily to be linear in parameters,therefore all fuzzy sets for input and output can be adjusted.The validity of the proposed model was verified using experimental data obtained by the commercially available flight simulator X-Plane.The simulation results showed high accuracy of the modeling method and attitude dynamics data matched well with experimental data.     

How to choose an appropriate transfer function in designing a simplest ANN to solve specific problems

How to irmrporate certain constraints known a prion into the transfer function to redure thenumber of hidden units of an MFNN in solving some specific probems is disussed. The N-bit parity andsymmetrical problems are used as examples and the derivation of the transfer function based on the a privriknowledge of the input patterns is given. It is shown that by use of the method proposed, only onc hiddenunit is needed in solving the parity and symmetry test problems.     

Splitting extrapolation based on domain decomposition for finite element approximations

Splitting extrapolation based on domain decomposition for finite element approximations is a new technique for solving large scale scientific and engineering problems in parallel. By means of domain decomposition, a large scale multidimensional problem is turned to many discrete problems involving several grid parameters The multi-variate asymptotic expansions of finite element errors on independent grid parameters are proved for linear and nonlin ear second order elliptic equations as well as eigenvalue problems. Therefore after solving smaller problems with similar sizes in parallel, a global fine grid approximation with higher accuracy is computed by the splitting extrapolation method.     

Research on Directly Adaptive Fuzzy Algorithm Based ACC Controller

A directly adaptive fuzzy algorithm is applied in vehicle adaptive cruise control system. The basic principle of the adaptive fuzzy algorithm is analyzed. The initial value of the fuzzy based vector is given by the traditional fuzzy membership. Adaptive law of the adjustable parameters θ is also determined. The directly adaptive fuzzy ACC controller is designed based on Matlab fuzzy toolbox. Matlab-Simulink is adopted to test the function of the adaptive fuzzy ACC controller. The control system is established using a 7 DOF vehicle dynamics model. Simulation results indicate that the principle of the method is correct and it performs well both in cruise and distance keeping.     

离散模糊变量的条件熵及其性质

为了度量给定一个模糊变量条件下另一个模糊变量的不确定性,本文在可信性理论的基础上,给出离散模糊变量的条件熵的定义,并研究了它的下界,上界,同时得到独立简单模糊变量条件熵取上界的充分必要条件。     

具有链式约束的单机随机排序问题

研究具有链式约束的单机随机排序问题，目标函数为加权总完工时间的数学期望．分别对于链可中断和链不可中断两种情况，通过理论分析，给出了该问题的优先策略．     

基于交替方向乘子法的互联系统经济调度模型

针对多区域互联系统集中调度方法存在的计算规模过大和私密性不足问题,提出了基于交替方向乘子法的分散协调调度模型并在模型中考虑了网络安全约束。首先,采用模糊建模法对风电出力的不确定性进行描述并将其引入到旋转备用约束中。其次,利用复制边界节点变量法对区域进行分解并建立了基于直流潮流的互联系统分散协调调度模型。每次迭代中交替方向乘子法不需要中央协调控制器的参与,仅需向相邻区域传递相角信息即可。然后,基于可信性理论将模糊机会约束变换为确定的等价类约束。最后,通过两区域互联系统进行算例分析,仿真结果表明所提方法的有效性。     

基于拓扑排序资源约束下多项目调度优化算法

多项目调度存在着工期和资源的竞争,调度时要考虑时序关系和资源受限两方面约束,启发式串行调度算法在每调度一个任务时都必须搜索项目的任务空间,为此提出了一种基于拓扑排序的多项目串行调度优化算法。此算法利用拓扑排序序列的特点保证任务时序关系,缩小调度时搜索空间,结合项目权重、向后影响度以及关键路径等优先规则进行资源分配和任务调度。通过具体实例验证了此算法可以求得项目调度的最优解并且能够有效地缩短调度计划生成时间。     

可信性空间上基于复模糊变量的学习过程一致收敛速度的界

在统计学习理论中关于经验风险和实际风险的关系的重要结论被称为推广性的界,它是分析学习机器性能和发展新的学习算法的重要基础。学习过程一致收敛速度的界是推广性的界的重要组成部分。给出并证明了可信性测度空间上基于复模糊变量的一些性质,在此基础上给出并证明了可信性测度空间上基于复模糊变量的一致收敛速度的界。为系统建立可信性空间上复统计学习理论奠定了理论基础。     

基于距离测度的三角模糊交互多属性决策方法

针对属性间存在交互作用的三角模糊多属性决策问题,基于可信性分布理论给出了关于三角模糊数新的排序方法。通过将区间数的Wasserstein距离测度进行推广,得到三角模糊数的距离测度;考虑到属性间存在的交互作用,定义了一种2可加Shapley三角模糊Choquet积分集结算子(2ASTFCA);针对属性权重部分已知的情形,以方案之间离差最大化为目标构建规划模型得到属性权重。最后,通过青岛市休闲农业综合信息服务平台开发方选择实例,说明所提方法的有效性。     

工件带链约束和尺寸的并行批排序

主要对带链优先约束和尺寸的工件并行批排序问题进行了研究,当工件的加工时间一致时对目标函数是极小化所有工件加工时间之和的情形,借助于拆分的技巧,给出了一个最差性能比为2的近似算法.     

基于顶点覆盖问题解的与/或优先约束任务调度算法

系统描述了与/或网模型及与/或优先约束任务调度的可行性判定算法.以顶点覆盖问题为基础,证明与/或优先约束任务调度最小完成时间问题是NP完全的.提出一种启发式调度算法,解决与/或优先约束任务调度最小完成时间问题.通过算法示例表明,该算法对与/或优先约束任务图具有良好的调度性能,能够得到一个最优唯与任务图,从而证明在实时优先约束任务调度中引入图优化的理论,是解决优先约束任务调度问题的一个有效途径.     

Fuzzy-TOPSIS Method with Multi-goal

To develop the technique for order preference by similarity to an ideal solution,namely,TOPSIS method with multi-goal in fuzzy decision environment.Firstly,a new approach to constructing fuzzy decision matrix by Choquet integral was proposed in muhi-goal decision system.Secondly,the concepts of fuzzy positive-ideal solution and fuzzy negative-ideal solution related to the fuzzy decision matrix were given.Finally,the credibility measure was adopted to calculate the distances to fuzzy positive-ideal solution and fuzzy negative-ideal solution.The presented fuzzy-TOPSIS method embodies well both the predetermined preferences and the weights of goals.     

三自由度并联姿态测量机构误差建模

提出了并联结构的三自由度姿态测量装置，将其连接到三自由度串联结构位置测量仪的末端可实现对被测物体六自由度位姿综合测量，通过机构分析得出了被测物体姿态的显式解。对三自由度并联姿态测量机构的测量误差进行建模，姿态角的测量误差以显式给出，测量时各位姿下的测量误差可实时显示，为机构设计参数的优化奠定了基础。