EFBS数据交换模型与完整性检查机制

提出一种面向电子飞行包系统(EFBS)的数据交换模型。该模型采用星型逻辑结构进行数据传输,以XML格式通过数据交换组件实现其他子系统与中央内容管理单元的数据交换,介绍数据完整性检查机制,确保数据交换的安全性,其中,发送方通过DSA算法生成数字签名,并运用SHA-1算法获得文本摘要,接收方通过数字签名验证对交换数据进行完整性检查。实验结果验证了该检查机制的有 效性。     

MIN and MAX Operators for Fuzzy Intervals and Their Potential Use in Aggregation Operators

This paper aims at expressing MIN and MAX operations when triangular fuzzy intervals are taken as inputs, that is when Zadeh's extension principle is considered. First presented approach consists in representing fuzzy intervals by means of their profiles. In this context, a computation algorithm can be easily derived for implementing the MIN and MAX operations. Another methodology based on interval relations is then proposed for determining a general analytical expression of the MIN and MAX operations. The potential use of these expressions in the framework of uncertain aggregation operators is illustrated with the two-additive Choquet integral.     

Integrated Fuzzy Robust Controller for Flight Control Design

μ-synthesis is a practical design approach and has been applied successfully to achieve a nominal and robust performance objectives. However, this design method suffers from the complexity of its practical implementation and high computational demand due to its high order dynamics. To overcome this problem, the interaction between fuzzy logic control which is a part of intelligence control theory and μ-synthesis controller is carried out. This is called integrated fuzzy robust controller in this paper. It is obtained by coupling fuzzy pd with μ-synthesis controller through the outer loop. Using this design strategy, we can keep the system performance and robustness even a high order μ-synthesis controller is reduced into second order model. In order to test the effectiveness of this design method, the linear simulation results for a launch vehicle’s attitude control motion are presented at the end of this paper.     

A Fuzzy Reasoning Model for Action and Change in Timed Domains

This paper proposes a fuzzy approach for reasoning about action and change in timed domains. In our method, actions and world states are modeled as fuzzy sets over time axis. Thus, their temporal relations and time constraints can be modeled as fuzzy rules. So, our method handles well the issue that action happens at an approximate time and then the states also change at an approximate time, which has not been solved well in the existing work. Finally, our method is used to solve the classic problem of rail‐road crossing control in a fuzzy environment. The theoretical and simulation analysis shows that the controller using our method works well.     

基于模糊偏好关系的多智能主体决策

多智能主体决策在决策支持系统中的应用越来越广泛,但也带来了各智能主体决策一致性,以及选择最优决策方案的问题,为解决以上问题,该文提出了基于模糊偏好关系的多智能主体决策方法,该方法利用模糊聚合算子对多智能主体的决策结果进行聚合,并利用模糊偏好关系对决策方案进行排序,从而选择最优决策方案。     

基于ASP电子档案袋的设计与实现

电子档案袋作为立体化教材网站的一个模块,主要功能是为学习过程进行评价.结合学习网站设计电子档案袋并利用ASP技术实现它的各项功能.     

机器人足球智能体行为选择策略仿真研究

研究足球机器人供过传球的成功率,优化控制策略,在机器人足球比赛中,针对现有行为选择策略因不能综合全面地考虑场上复杂的影响因素,造成传球、带球和射门的失误率较高的问题。为提高球员带球的准确率,提出了一种模糊Q学习的行为选择决策机制。利用模糊算法全面地处理和评估场上的干扰和影响因素,做出最佳行为决策。并通过Q学习算法来修正模糊规则。采用上述算法的行为选择策略,增强了策略对动态环境的适应能力。在机器人足球世界杯2D仿真平台上对策略进行了仿真验证,仿真结果表明改进算法能够很好的改善智能体的射门、传球和带球的成功率。     

Sentences over Integral Domains and Their Computational Complexities

LetRbe a Hilbertian domain and letKbe its fraction field. Letψ(x₁, …, x_n, y) be a quantifier free arithmetical formula overR. We may also takeψ(x₁, …, x_n, y) to be an arithmetical formula overK[x₁, …, x_n] and write it asψ(y). In this paper we show that ifRhas enough non-units and x₁…x_n y ψ(x₁, …, x_n, y), called an ⁿ  sentence, is true inR, then y ψ(y) is true inK[x₁, …, x_n]. Also, ifR=K[T], whereKis an infinite integral domain andx₁…x_n y ψ(x₁, …, x_n, y)is true inR, then y ψ(y) is true inR[x₁, …, x_n]. These results are applied to find the upper and lower bounds of the time complexities of various decision problems on diophantine equations with parameters and arithmetical sentences. Some of the results are: 1. The decision problem of sentences and diophantine equations with parameters over the ring of integers of a global field are co-NP-complete. 2. The decision problem of sentences over the ring of integers of a global field is NP-complete. 3. LetKbe an infinite domain, the time complexities of the decision problems of equations with parameters and sentences over the polynomial ringK[t] are polynomial time reducible to factoring polynomials overK. 4. The decision problem of sentences over all algebraic integer rings is in P. 5. The decision problem of sentences over all integral domains with characteristic 0 is in P. 6. The time complexity of the decision problem of sentences over all integral domains is polynomial time reducible to factoring integers overZand factoring polynomials over finite fields.     

Entropy and Cross‐entropy for Generalized Hesitant Fuzzy Information and Their Use in Multiple Attribute Decision Making

In this paper, we present the entropy, cross‐entropy, and similarity measure for generalized hesitant fuzzy information and discuss their desirable properties. Some measure formulas are developed, and the relationships among them are investigated. We show that the similarity measure and entropy for generalized hesitant fuzzy information can be transformed by each other based on their axiomatic definitions. Then we develop two approaches for solving multiple attribute decision making, in which the attribute values are given in the form of generalized hesitant fuzzy elements (GHFEs). In the first approach, the attribute weight vector is determined by the generalized hesitant fuzzy entropies, and the optimal alternative is obtained by comparing the generalized hesitant fuzzy cross‐entropies between alternatives and positive‐ideal or negative‐ideal solutions; in the second approach, the attribute weight vector is derived from the maximizing deviation method and optimal alternative is obtained by using the technique for order preference by similarly to ideal solution (TOPSIS) method. Finally, an example is provided to illustrate the practicality and effectiveness of the developed approaches.     

使用SMTP实现邮件发送设计

电子邮件是在Internet上应用最广泛的通信的方式,它可以有效地进行电子化的数据异地交换。电子邮件工作原理遵循客户/服务器模式和一些基本协议和标准,如SMTP、POP3和MIME等。文章借用套接字以VC为开发工具实现电子邮件的核心报文传输系统。     

A Consensus Model for Group Decision Making With Incomplete Fuzzy Preference Relations

Two processes are necessary to solve group decision making problems: A consensus process and a selection process. The consensus reaching process is necessary to obtain a final solution with a certain level of agreement between the experts; and the selection process is necessary to obtain such a final solution. In a previous paper, we present a selection process to deal with group decision making problems with incomplete fuzzy preference relations, which uses consistency measures to estimate the incomplete fuzzy preference relations. In this paper we present a consensus model. The main novelty of this consensus model is that of being guided by both consensus and consistency measures. Also, the consensus reaching process is guided automatically, without moderator, through both consensus and consistency criteria. To do that, a feedback mechanism is developed to generate advice on how experts should change or complete their preferences in order to reach a solution with high consensus and consistency degrees. In each consensus round, experts are given information on how to change their preferences, and to estimate missing values if their corresponding preference relation is incomplete. Additionally, a consensus and consistency based induced ordered weighted averaging operator to aggregate the experts' preferences is introduced, which can be used in consensus models as well as in selection processes. The main improvement of this consensus model is that it supports the management of incomplete information and it allows to achieve consistent solutions with a great level of agreement.     

Emergency Flight Planning for an Energy-Constrained Multicopter

Small Unmanned Aircraft Systems (UAS) have diverse commercial applications. Risk mitigation techniques must be developed to minimize the probability of harm to persons and property in the vicinity of the aircraft. This paper presents an emergency flight planner combining sensor-based and map-based elements to collectively plan a landing path for a UAS that experiences an unexpected low energy condition while flying over a populated area. Focus is placed in this work on the use of public databases of population distribution, structure locations, and terrain to create an efficient-to-access cost map of the data. Safe landing plans are generated with an A* search algorithm shown to be feasible for real-time use with the cost map. Simulation-based case studies are presented of a quadrotor UAS operating within New York City to illustrate how different cost terms impact optimal path characteristics.     

Incomplete Fuzzy Preference Matrix and Its Application to Ranking of Alternatives

A fuzzy preference matrix is the result of pairwise comparison of a powerful method in multicriteria optimization. When comparing two elements, a decision maker assigns the value between 0 and 1 to any pair of alternatives representing the element of the fuzzy preference matrix. Here, we investigate relations between transitivity and consistency of fuzzy preference matrices and multiplicative preference ones. The obtained results are applied to situations where some elements of the fuzzy preference matrix are missing. We propose a new method for completing fuzzy matrix with missing elements called the extension of the fuzzy preference matrix. We investigate some important particular case of the fuzzy preference matrix with missing elements. Consequently, by the eigenvector of the transformed matrix we obtain the corresponding priority vector. Illustrative numerical examples are supplemented.     

具有模糊策略和结局偏好认知的超对策集结模型

针对不确定多冲突环境,建立了具有模糊策略和结局偏好认知的超对策交互集结模型。基于单一局中人所受到的资源约束及其对其他局中人资源约束的认知,构建多个模糊超对策环境中该局中人所认知的多个模糊对策的集结模型,在所有局中人所认知的对策集结模型基础上得到面向多冲突环境的模糊超对策交互集结模型;给出了求解模糊超对策交互集结模型均衡结局的稳定性分析过程。最后,一个军事例子说明了模型的实用性和有效性。     

使用语言最小支持度和偏爱度挖掘偏爱的模糊浏览路径

提出了使用语言最小支持度和偏爱度的web日志挖掘方法.表示用户兴趣和偏爱程度的支持度和偏爱度被刻画成相应的模糊语言变量,通过与最小语言支持度和偏爱度(模糊语言变量)比较,判定该网页是否是一个用户偏爱网页,这种语言的输入输出更自然更易理解.此外,网页上的浏览时间也是反映用户兴趣和偏爱的一个重要因素,它也被表示成相应的模糊语言变量,既体现不同网页浏览时间的不同,也可以忽略它们之间的细微差别.所获得的带有模糊时间的用户偏爱浏览路径更能反映用户的兴趣和偏爱性.     

Error Analysis Methods for Group Decision Making Based on Hesitant Fuzzy Preference Relation

Hesitant fuzzy preference relation (HFPR) is an effective way to depict the decision makers’ preferences over the objects (alternatives or attributes) in the process of group decision making. Each component of the HFPR is characterized by several possible values and can express the decision makers’ hesitant information comprehensively. To make a decision with the HFPR, it is very necessary to find a proper technique for deriving the priority weights from the HFPR. In this paper, we use the error analysis as a tool to develop several straightforward methods for the priorities of the HFPR. We first define the expected value and the average value of each hesitant fuzzy element in the HFPR. Then based on the error analysis, we come up with the interval midpoint method, the average value method, and the difference method to derive the priority weights from the HFPR. After that, we discuss the relations among these methods, and utilize them and the possibility degree formula to develop an approach to decision making with the HFPR. Finally, we demonstrate the effectiveness and practicality of our approach through a case study concerning the investment problem in liquor enterprise.     

基于连续域混合蚁群优化的核模糊C-均值聚类算法研究

为进一步提高核模糊C-均值聚类算法的聚类性能,提出基于连续域混合蚁群优化的核模糊C-均值聚类算法(KFCM-HACO),使用HACO对KFCM算法的内核函数参数值和聚类中心进行优化,克服传统算法弊端,使核模糊C-均值聚类算法的目标函数最小化,加快算法的收敛速度.该优化算法在UCI数据集上的仿真实验及结果比较表明,KFCM-HACO算法的聚类性能优于传统的聚类算法,提高了聚类的准确性.     

基于模糊控制的某教练机飞行姿态控制器设计

提出了一种基于规则的模糊逻辑飞行控制系统的设计方法,用以解决某教练机训练系统中数学模型时变性和不确定性问题.为了避免建模的困难,某教练机飞控系统采用模糊逻辑控制设计其控制律,结合飞行员的操纵经验,对系统进行动态调整.以俯仰角为研究对象,利用MATLAB中的fuzzy工具箱实现了模糊控制器设计,给出了俯仰角模糊控制器的控制曲面视图,并在SIMULINK仿真环境下建立了仿真模型.结果表明,所设计的模糊逻辑控制器满足操作品质的要求,具有较好的鲁棒性,对教练机驾驶训练仿真平台的飞行控制系统设计具有一定的应用价值.     

扰动值模糊有限自动机及其语言*

引入扰动值模糊有限自动机及其语言的概念,讨论扰动值模糊有限自动机的状态转移函数的扩张问题,证明3类确定型扰动值模糊有限自动机、非确定型扰动值模糊有限自动机相互等价性,研究扰动值模糊有限自动机的语言关于正则运算的封闭性.     

Pythagorean Fuzzy Information Measures and Their Applications

Pythagorean fuzzy set (PFS), originally proposed by Yager, is more capable than intuitionistic fuzzy set (IFS) to handle vagueness in the real world. The main purpose of this paper is to investigate the relationship between the distance measure, the similarity measure, the entropy, and the inclusion measure for PFSs. The primary goal of the study is to suggest the systematic transformation of information measures (distance measure, similarity measure, entropy, inclusion measure) for PFSs. For achieving this goal, some new formulae for information measures of PFSs are introduced. To show the efficiency of the proposed similarity measure, we apply it to pattern recognition, clustering analysis, and medical diagnosis. Some illustrative examples are given to support the findings and also demonstrate their practicality and effectiveness of similarity measure between PFSs.