A water mass in the sea area under investigation is defined as a fuzzy subset in the discourse universe. Possible forms of membership function of water masses in the mixing modified process are discussed with the mixi...A water mass in the sea area under investigation is defined as a fuzzy subset in the discourse universe. Possible forms of membership function of water masses in the mixing modified process are discussed with the mixing theory for conservative concentration of sea water. It may provide bases for making membership functions. Results in this paper may be extended and applied to shallow water. Examples and discussion are given in this paper.展开更多
大豆分离蛋白(Soybean protein isolate,SPI)对外界环境的变化极其敏感,中和工段中pH值微小的变化就会改变蛋白质的结构和功能性质。通过添加NaOH调控凝乳的pH值,利用红外光谱和内源荧光光谱分析SPI的结构及功能性质,研究发现在中性条件...大豆分离蛋白(Soybean protein isolate,SPI)对外界环境的变化极其敏感,中和工段中pH值微小的变化就会改变蛋白质的结构和功能性质。通过添加NaOH调控凝乳的pH值,利用红外光谱和内源荧光光谱分析SPI的结构及功能性质,研究发现在中性条件下SPI具有较好的起泡性,碱性条件时SPI具有较好的乳化性,当体系pH值为7时,SPI的起泡性最佳,当体系pH值为8.5时,SPI的乳化性最佳。建立了25 L大豆SPI中和工段pH值精细调控体系,利用Matlab模拟生产过程,通过动态线性与静态非线性拟合,采用模糊自适应控制结合Wiener模型调控中和罐的加碱量,当将中和罐中pH值调控为7时,调节时间为37.4 s,生产的SPI起泡性指数为57.22%,将中和罐中pH值调控为8.5时,调节时间为33.4 s,生产的SPI乳化活性指数为69.35 m^(2)/g,体系无超调量用碱。展开更多
文摘A water mass in the sea area under investigation is defined as a fuzzy subset in the discourse universe. Possible forms of membership function of water masses in the mixing modified process are discussed with the mixing theory for conservative concentration of sea water. It may provide bases for making membership functions. Results in this paper may be extended and applied to shallow water. Examples and discussion are given in this paper.
文摘本文首先提出群区间直觉模糊有序加权几何(groupinterval-valuedintuitionistic fuzzy orderedweighted geometric,GIVIFOWG)算子和群区间直觉模糊有序加权平均(group interval-valued intuitionistic fuzzy ordered weighted averaging,GIVIFOWA)算子.利用GIVIFOWG算子或GIVIFOWA算子聚集群的决策矩阵以获得方案在属性上的综合区间直觉模糊决策矩阵(collectiveinterval-valuedintuitionistic fuzzy decision-matrix,CIVIFDM).然后定义了一个考虑犹豫度的区间直觉模糊熵(interval-valuedintuitionistic fuzzyentropy,IVIFE);通过熵衡量每个属性所含的信息来求解属性权重.最后,提出基于可能度的接近理想解的区间排序法(interval technique for order preference by similarity to an ideal solution,ITOPSIS)和区间得分函数法.在ITOPSIS法中,依据区间距离公式计算候选方案和理想方案的属性加权区间距离,进而采用ITOPSIS准则对各方案进行排序;在区间得分函数法中,算出CIVIFDM中各方案的得分值以及精确值,然后利用区间得分准则对各方案进行排序.实验结果验证了决策方法的有效性和可行性.
