ID 原文 译文
6494 由于多数评价指标的数据来源多、存储方式不一、处理方法各异等,使得其具有多源不确定性(multisource uncertainty,MSU)特点,具体表现为指标评价值往往包括灰数、模糊数、区间值模糊数以及白数等。 Since most of the evaluation index data source, storage way is different, different processing methods, etc., make its have many sources of uncertainty (multisource uncertainty, MSU) characteristics, embodied in index value often include grey Numbers, fuzzy Numbers and interval-valued fuzzy number, and number of white, etc.
6495 针对此类指标的评价问题,提出了新的基于广义灰色激励因子的多源不确定性指标(multi-source uncertain index,MSUI)动态综合评价模型。 For such evaluation indicators and puts forward a new multiple sources of uncertainty based on generalized gray incentive factor index (multi - source in all index, MSUI) dynamic comprehensive evaluation model.
6496 首先引入广义灰数的基本理念,将传统的灰色绝对关联模型扩展到评价指标为广义灰数的形式,由此得出各个时间段指标的广义灰色激励因子; Firstly introduce the basic conception of generalized grey Numbers, to expand the traditional grey absolute correlation model to the evaluation index in the form of generalized grey Numbers, so that each time index of generalized grey incentive factor;
6497 然后根据指标信息不对称的特点,构建基于MSUI的广义灰色熵权模型,求解出各个指标的广义灰色熵权; Then according to the characteristics of the index of information asymmetry, build a model of generalized grey entropy based on MSUI, solving the various indicators of generalized grey entropy;
6498 接着在广义灰色激励因子与广义灰色熵权的基础上,建立基于广义灰色激励因子的MSUI动态综合评价模型; Then in the generalized gray incentive factor and on the basis of generalized grey entropy based on generalized gray motivating factor MSUI dynamic comprehensive evaluation model;
6499 最后结合案例研究证明了模型的有效性与可行性。 Finally combining case study proves the validity and feasibility of the model.
6500 针对反舰导弹(anti-ship missile,ASM)传统航路规划中难以兼顾巡航安全和快速抵近目标的问题,提出了基于区域划分的航路规划算法。 Against anti-ship missiles (anti - ship missile, ASM) in the traditional route planning problem to achieve the goal of cruise safe and quick close up, route planning algorithm based on region partition is proposed.
6501 首先,依据目标点和战术区中心点相对位置关系分别建立"远离威胁战术区"和"抵近目标战术区"模型。 First of all, according to the target point and tactical area center relative position relationship respectively establish "move away from threats tactics" and "close up target tactical area" model.
6502 然后,在威胁战术区采用Dijkstra算法计算Voronoi图的最短航程并进行自适应折线化处理; Then, in the threat of tactical area Voronoi diagram of the shortest distance is obtained by using the Dijkstra algorithm and the adaptive line processing;
6503 在目标战术区采用二叉树算法快速规划最短航程\最少转向点航路。 In the target tactical area using the algorithm of binary tree fast route planning shortest voyage \ minimum steering point.