基于直觉模糊推理的信任等级评估

信任关系的不确定性是信任评估和可信赖性预测的最大挑战,针对该问题,将具有良好语义表述和推理能力的直觉模糊理论用于描述信任关系的不确定性,提出一种基于直觉模糊推理的信任评估方法。首先,确定了基于直觉模糊推理进行信任等级评估的基本原理,选取了主体提供服务的能力、请求服务的数量、传播速度、评价和关注度等5个分析模式;然后对这5个模式进行归一量化和模糊化,建立直觉模糊推理规则,进行信任等级推理。实验结果表明,该方法能够比较准确的评估出主体的信任等级,与专家经验基本吻合。     

变值配置函数空间整体编码族的2维对称性

研究0-1多元变量的逻辑函数及其整体配置函数空间变值编码表示特性。根据对称特性,系统地定义一批整体编码结构:邵雍-Leibniz码、广义码、文王码、伏羲码和共轭码。展示变值向量配置函数空间规模以及函数群集的状态空间组织结构。对各类编码系列的可区分数目,给出计算公式。2维变值展示框架展现在变值配置函数空间中不同编码族具有的内蕴对称特性。分层结构编码配置函数空间和2维展现描述体系,为基于东方逻辑传统的现代逻辑架构:变值逻辑体系,利用高维分析工具探讨0-1序列非线性超复杂逻辑变换开辟道路。     

FUZZY COMPREHENSIVE EVALUATION OF CONTAINER TRANSPORTATION MODES ALONG THE CHANGJIANG RIVER MAIN LINE AND ITS DELTA AREA

The Changjiang River (Yangtze) is one of the fastest growth areas of container transportation in Chi-na. Rail, road and water transportation have competed against each other for container transportation in the Chang-jiang River main line and its delta area. It is of significance to assess these different transportation modes scientifi-cally in order to organize container transportation efficiently in this area and make decision for integral plan and construction of transportation system in this area. This paper outlines application of fuzzy comprehensive evaluation to appraise different modes of typical direction of containers. Twelve assessment indexes were decided. Membership functions were formulated. Evaluation results indicated that road transportation was optimal mode in the Changjiang River delta area, however water transportation was the primary way in the Changjiang River main line.     

模糊控制在直流变频空调器中的应用

从直流型变频空调器的特点及控制要求出发,提出了模糊控制系统的结构,讨论了直流变频空调器的模糊控制算法.对控制器的性能(主要是鲁棒性)进行了详细的分析,对所采用的模糊控制算法在Matlab平台下进行了仿真,作为比较同时给出了其他常用算法的仿真结果.     

威海市地质环境质量评价

本文在前期资料收集和资源环境承载力评价的基础上,结合威海市当地地质特征,选择地质环境条件、地质环境问题和人类工程活动作为一级评价指标,地形地貌、地下水资源、区域地壳稳定性、地质灾害、地下水污染、海水入侵、人口密度、农业活动、矿业活动作为二级评价指标,采用层次分析法和模糊数学法对威海市地质环境质量进行综合评价.研究结果表...     

济宁市非煤矿山地质环境影响综合评价

济宁市非煤矿产资源丰富,高强度的开采利用给矿区地质环境保护与治理带来巨大挑战.文章分析研究了济宁市非煤矿山地质环境问题的类型、分布、危害程度等基本特征,分别选用层次分析法和模糊综合评价法进行矿山地质环境影响程度评价,探讨两种评价结果的差异,综合划分影响等级,为开展矿山地质环境保护与矿山地质环境问题治理工作提供前提与依据...     

Fuzzy comprehensive evaluation model for water resources carrying capacity in Tarim River Basin, Xinjiang, China

This paper explores the method of comprehensive evaluation of water resources carrying capacity and sets up an evaluation model applying the fuzzy comprehensive evaluation method. Based on the data of nature, society, economics and water resources of the Tarim River Basin in 2002, we evaluated the water resources carrying capacity of the basin by means of the model. The results show that the comprehensive grades are 0.438 and 0.454 for Aksu and Kashi prefectures respectively, where the current water resources exploitation and utilization has reached a relative high degree and there is only a very limited water carrying capacity, 0.620 for Kizilsu Kirgiz Autonomous Prefecture, where water resources carrying capacity is much higher, and in between for Hotan Prefecture and Bayingolin Mongolian Autonomous Prefecture. As a whole, the comprehensive grade of the Tarim River Basin is 0.508 and the current water resources exploitation and utilization has reached a relative high degree. Thus, we suggest that the integrated management of the water resources in the basin should be strengthened in order to utilize water resources scientifically and sustainably.     

模糊PID控制器在水压机控制系统中的应用

介绍了模糊控制中的设计思想及方法，并采用模糊控制的方法来改进实际生产中PID控制的一些控制难点。将改进方法应用在一大型水压机控制系统中并在实际生产中取得了理想效果。     

Adapted Fuzzy Controller for Astronomical Telescope Tracking

This paper presents a novel application of fuzzy logic (FL) controller driven by an adaptive fuzzy set (AFS) for position tracking of the telescope driven by electric motor. Also, the proposed FL controller, driven by AFS, is compared with a classical FL control, driven by a static fuzzy set (SFS). Both FL controllers algorithm use the position error and its rate of change as an input vector. The mathematical model of the telescope driven by electric motor is highly nonlinear differential equations. Therefore the use of the artificial intelligent controller, such as FL is much better than the conventional controller, to cover a wide range of operating conditions. So, the output of FL control is utilized to force the electric drives, of the telescope, to satisfy a perfect matching of the predefined desired position of the telescope arms. Both of FL controllers, using AFS and SFS, are simulated and tested when the system is subjected to a step change in reference value. In addition, these simulation results are compared with the conventional Proportional-Derivative (PD) controller, driven by fixed gain. The proposed FL, using an adaptive fuzzy set, improve the dynamic response of the overall system by improving the damping coefficient and decreasing the rise time and settling time compared with other two controllers.     

Assessing seawater quality with a variable fuzzy recognition model

With the rapid development of the marine economy industry, human exploitation of marine resources is increasing, which is contributing to the growing trend of eutrophication and frequent occurrence of red tide. Accordingly, investigations of seawater quality have attracted a great deal of attention. This study was conducted to construct a seawater environmental quality assessment model based on the variable fuzzy recognition model. The uncertainty and ambiguity of the seawater quality assessment were then considered, combining the monitoring values of evaluation indicators with the standard values of seawater quality. Laizhou Bay was subsequently selected for a case study. In this study, the correct variable model for different parameters was obtained according to the linear and nonlinear features of evaluation objects. Application of the variable fuzzy recognition model for Laizhou Bay, water quality evaluation and comparison with performance obtained using other approaches revealed that the generated model is more reliable than traditional methods, can more reasonably determine the water quality of various samples, and is more suitable for evaluation of a multi-index, multi-level, nonlinear marine environment system; accordingly, the generated model will be an effective tool for seawater quality evaluation.