基于专家系统决策的多模式控制及其应用

将专家系统技术与常规控制、模糊控制、超前控制、仿人智能操作控制以及计算机控制技术相结合,设计了一种新的基于专家系统决策的多模式控制(MCDBES)。经试验和实际运行结果表明,MCDBES系统对未知数学模型的被控对象,具有良好的控制性能。本文提出的MCDBES已成功地应用于燃油陶瓷窑炉计算机控制系统。     

Integrating Uncertainty Theories with GIS for Modeling Coastal Hazards of Climate Change

Prediction of coastal hazards due to climate change is fraught with uncertainty that stems from complexity of coastal systems, estimation of sea level rise, and limitation of available data. In-depth research on coastal modeling is hampered by lack of techniques for handling uncertainty, and the available commercial geographical information systems (GIS) packages have only limited capability of handling uncertain information. Therefore, integrating uncertainty theory with GIS is of practical and theoretical significance. This article presents a GIS-based model that integrates an existing predictive model using a differential approach, random simulation, and fuzzy set theory for predicting geomorphic hazards subject to uncertainty. Coastal hazard is modeled as the combined effects of sea-level induced recession and storm erosion, using grid modeling techniques. The method is described with a case study of Fingal Bay Beach, SE Australia, for which predicted responses to an IPCC standard sea-level rise of 0.86 m and superimposed storm erosion averaged 12 m and 90 m, respectively, with analysis of uncertainty yielding maximum of 52 m and 120 m, respectively. Paradoxically, output uncertainty reduces slightly with simulated increase in random error in the digital elevation model (DEM). This trend implies that the magnitude of modeled uncertainty is not necessarily increased with the uncertainties in the input parameters. Built as a generic tool, the model can be used not only to predict different scenarios of coastal hazard under uncertainties for coastal management, but is also applicable to other fields that involve predictive modeling under uncertainty.     

疏浚物倾倒区海水水质级别的模糊综合评价

应用模糊综合评价方法对大连臭水套海域疏浚物预选倾倒区的水质状况进行了评价，得到了有益的结论。     

Expanded adaptive fuzzy sliding mode controller using expert knowledge and fuzzy basis function expansion for UFV depth control

Generally, the underwater flight vehicle (UFV) depth control system operates with the following problems: it is a multi-input multi-output (MIMO) system, it requires robustness, a continuous control input, and further, it has the speed dependency of controller parameters. To solve these problems, an expanded adaptive fuzzy sliding mode controller (EAFSMC), which is based on the decomposition method designed by using an expert knowledge and the decoupled sub-controllers and composition method designed by using the fuzzy basis function expansions (FBFEs), is proposed. To verify the performance of the EAFSMC, the depth control of UFV in various operating conditions is performed. Simulation results show that the EAFSMC solves all problems experienced in the UFV depth control system online.     

废弃海洋桩基平台拆除方案的系统决策研究

海洋平台拆除是一项复杂的、受多种因素制约的、涉及许多技术领域的综合性系统工程。采取适当的拆除方案是工程安全、经济、环保地进行的基础和保证。针对这一问题，文章对拆除方案的评估进行了系统的研究，从环境、工艺、安全、经济、工期的角度建立了拆除方案评估指标体系，并综合运用群决策层次分析理论和模糊数学理论对拆除方案进行系统的评估。经实例验证，所建立的评估指标体系，可科学、公正、快捷地对方案进行评估，为决策者提供科学的决策基础。     

用多元分析法研究泥蚶(Tegillarca granosa)氨基酸地区差异

采用贝克曼System6300氨基酸分析仪检测了7个地区泥蚶群体的氨基酸种类及含量,并利用多元分析法对这些群体的氨基酸含量差异进行了比较研究。聚类分析结果表明,7个泥蚶群体中,乐清和韩国群体间的氨基酸含量差异最小,汕头群体与其他6个群体间的氨基酸差异程度最大。通过软件分析,构建3个能反映氨基酸信息的综合性指标——主成分1、主成分2和主成分3,三者的贡献率分别为50.138%、23.332%和15.619%,累计贡献率高达89.089%。     

用于数值分类的聚类分析

这里所谓聚类分析包括传统的聚类分析和作者提出的聚类统计检验分析。传统的聚类分析是常用的重要数值分类方法。但是，这个方法由于缺乏显著性检验，在国际上已长期公认是一个在多元统计中并不完整的方法。本文把聚类统计检验分析在其具有显著性检验的优越性上，和传统聚类分析作了对比分析。聚类统计检验分析区分有均匀聚类与中心聚类。前者用（１６）作为聚类判据，后者则用（２７），并且各用相应的公式（１７）－（２１）与（２     

Risk-based decision-making for drilling waste discharges using a fuzzy synthetic evaluation technique

Offshore petroleum drilling wastes contain toxic substances that are potentially harmful to the marine ecosystem. Despite environmentally benign characteristics, wastes associated with synthetic-based fluids still contain a certain amount of pollutants due to contamination with formation oil and the presence of trace heavy metals in barite, which may pose risk when discharged into the marine environment. A framework is presented here for a decision support system for the selection of the best drilling waste discharge option. Uncertainties in the quantification of risk, cost and technical feasibility are expressed by fuzzy numbers. An analytical hierarchy process with a technique called fuzzy synthetic evaluation is employed to determine the best management alternative (discharge scenario).     

南充市城区地质环境质量分区模糊评价

在收集了大量的地质资料的基础上,结合地理信息系统的数据库和空间分析功能,通过专家一层次分析法确定权重,运用模糊评判法对南充市城市地质环境质量进行分区评价。地质环境是城市建设和发展的基础,随着城市化进程加快,城市地质环境问题越来越突出。因此,对城市地质环境条件进行定量评价,对于城市规划和建设具有重要的指导意义：评价的结果将南充市城市地质环境划分为3个区11个亚区,各区地质环境质量有明显的差异,并提出城市建设合理的发展方向。