E－凸集的几个基本性质

利用比较与分析的方法，由E-凸集的定义出发，研究了E-凸集的若干基本性质．所得结果丰富并深化了凸分析的基本内容，拓宽了广义凸性在优化理论及其应用中的研究范围．     

Application of Attribute Reduct Method in Spatial Load Forecasting

Spatial load forecasting is a process distributing the total forecasted load to all partitioned area, and involving more spatial information and more factor influencing application of the future small area, which need a great deal of memory space and longer operation time. Rough set is new method of data analysis. It need not be provided with any advanced information except data set. But attribute reduct is its main algorithms. Division matrix approach on rough set used to reduce the attribute related to land - use decision in order to remove redundancy attribute and then the rules of small area land - use decision is distilled. The method obtained better effect and enhanced the total load forecasting efficiency.     

New Algorithms for Data Discretization Based on Rough Set Theory

The discretization of real values is always one of the key problems to be solved in the domain of machine learning for its great contribution to speeding up the followed learning algorithms, cutting down the real demand of algorithms on running space and time, and improving the clustering capability of the ultimate learning results. The basic characteristics and framework of discretization approaches based on rough set model are analyzed at first, then the different measurements of the importance of candidate cuts are discussed and researched. Two new heuristic algorithms are put forward to finally select the useful cuts from a candidate set. The selected cuts of the two algorithms will adequately maintain the discernible relation of information systems for their full considering the specialty of rough set, which perfectly embodies the advantages of this theory. Moreover, excellent discretization results may be expected through these heuristic algorithms.     

A Method of Analyzing the Parameter Sensitivity of Large Rotor Systems and Its Application

Based upon the eigenvalue sensitivity theory of non-self-adjoit system and the component mode synthesis method,a new technique is developed to analyze the eigenvalue sensitivity to variation of parameters of large rotor-bearing system. As an application, the influence of the journal bearing parameters on the stability of a large domestic turbine-generator set is analyzed and discussed.     

烟草成分对其品质影响程度的粗糙集判别方法

运用粗糙集理论研究了烟草主要化学成分 (总糖、还原糖、总氮、烟碱、氧化钾和氯离子 )对烟草品质影响程度的判别方法。对比已有的研究结果 ,表明基于粗糙集理论的计算方法简单 ,结果明了 ,而且还能量化烟草成分对品质的影响程度。     

基于对称相似关系的不完备信息系统粗糙集拓展模型

在分析基于相容关系、非对称相似关系和限制容差关系的粗糙集扩展模型基础上,提出对称相似关系及其粗糙集扩展模型,并讨论其性质.这种扩展模型是其他几种扩展模型的改进,能较好地解决相容关系和限制容差关系条件的过于宽松以及非对称相似关系条件过于严格的问题.该模型的粗糙性介于相容关系与非对称相似关系的粗糙集扩展模型的粗糙性之间.     

Effect of set-size and storage temperature on bolting,bulbing and seed yield in two onion cultivars

The effects of three set-sizes (12.5, 17.5 and 22.5 mm in diameter) and seven storage temperatures (0, 5, 10, 15, 20, 25 and 30 °C) on bolting, bulbing and seed yield in two onion (Allium cepa L.) cultivars ‘Hygro’ and ‘Delta’ were investigated. The incidence of bolting increased linearly with set-size and curvi-linearly with decreasing storage temperature. Time to inflorescence emergence and floret opening showed a curvi-linear response to storage temperature with the earliest inflorescence emergence and floret opening occurring at 5 °C and the latest at 30 °C for ‘Hygro’ and at 25 °C for ‘Delta’. Seed yield per umbel also showed a curvi-linear response to storage temperature with the lowest seed yield occurring at 30 °C for ‘Hygro’ and at 25 °C for ‘Delta’ and the highest seed yield at 5 °C. For a seed crop, storage of large sets (22.5 mm) of these cultivars at 5 °C for 120 days appeared to be optimum with 5–12% higher seed yield per umbel than that of 90 days storage. Bulb yield showed a curvi-linear response to storage temperature with the highest bulb yield occurring at 25 °C and the lowest at 5 °C.     

基于粗糙集理论的岩质边坡稳定性评价

针对岩质边坡的稳定性评价问题,应用粗糙集理论对既有岩质边坡的失稳实例进行分析,采用遗传算法进行约简,抽取评价知识,建立了规则库。采用不精确推理和默认推理方法开发了岩质边坡稳定性评价专家系统,提出了待评对象与规则不完全匹配情况下的近似推理方法,结合工程实例对该系统进行了测试和验证,并与模糊回归方法进行的比较。     

基于粗集权重的改进可拓评价方法在灌区干旱评价中的应用

在分析了灌区干旱评价特点和目前评价方法不足的基础上，引入了基于非对称贴近度和粗集理论的改进可拓评价方法，有效避免了灌区干旱评价指标界限的纲性量化导致的遗漏问题和单项指标评价结果的矛盾性、不确定性和不相容性。与传统可拓评价方法相比，在指标权重的确定中采用经验因子协调主客观权重，克服了以往决策者过分依赖专家经验知识确定的不足。在等级评价中采用非对称贴近度原则，代替最大隶属度，有效解决最大隶属度原则的失效问题。计算实例表明，采用基于粗集权重的改进可拓评价方法进行灌区干旱评价是切实可行的。     

稻谷热风辅助射频干燥工艺及相关品质研究

新型热风辅助射频(HA-RF)技术已被证实在稻谷杀虫方面具有良好的效果,为探究其同步杀虫干燥的应用潜力,本研究重在探究HA-RF在稻谷干燥方面的效能,开发稻谷HA-RF干燥工艺并研究相关的品质变化.结果表明:极板间距为10.0 cm(射频加热速率6.10℃/min),干燥温度为60℃,样品厚度为3.0 cm时,稻谷HA-RF干燥效能最佳;HA-RF与热风(HA)干燥相比可缩短干燥时间34.6％,单位能耗也更低.此外,HA-RF与HA干燥相比对稻谷精米率、整精米率和爆腰率的影响无显著差异,但HA-RF干燥可以更好地保留维生素E,且对样品颜色和微观结构的影响也较小.该研究表明HA-RF是一种比HA干燥更加高效节能的技术,且干燥后稻谷品质更好,在稻谷同步干燥杀虫上具有一定应用潜力.