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首页> 外文期刊>Journal of Computers >Research on Algorithm for Consistent Fit or Unfit Sorting Sector and Match Measurement between Plan and Environment
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Research on Algorithm for Consistent Fit or Unfit Sorting Sector and Match Measurement between Plan and Environment

机译：一致拟合或不适合分拣部门的算法研究以及计划与环境之间的测量

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—Multi-objective decision-making can be divided into two categories: (1) First select some evaluation attributes, then evaluate the pre-programs under these evaluation attributes, and finally using certain methods to fuse the evaluation information; (2) Since the preselected programs in a same external environment, how to select the most pre-match program matching with the external environment. But present research about the later decisionmaking question is few. This article has conducted some research to this kind of policy-making question As a result of each preselected plan own characteristic, conditionperformance functions of various environment condition factor to each preselected plan existence difference. Thus causes not be able to only depend on the value of environment condition factor to judge each preselected plan fit and unfit quality under this environment condition, but must carry on the overall evaluation according to the value of environment condition factor and the conditionperformance function. In this article, firstly construct an algorithm to seek consistent fit and unfit quality sorting sector. Then based on these consistent fit and unfit quality sorting sectors, construct a match measurement operator to measure the match degree between each preselected plan and the external environment. The preselected plan owning the biggest match degree is the best plan under this environment condition.
机译：- 多目标决策可以分为两类：（1）首先选择一些评估属性，然后在这些评估属性下评估预节目，最后使用某些方法熔断评估信息; （2）由于在同一外部环境中预选的程序，如何选​​择与外部环境匹配的最匹配的程序。但目前关于后来决策问题的研究很少。本文对这种策略制定问题进行了一些研究，因为每个预选计划自己的特征，各种环境条件因子的特征，各种环境条件因子的特征，每个预选计划存在差异。因此，不能只取决于环境条件因素的价值，以根据这种环境条件判断每个预选的计划适合和不适合的质量，但必须根据环境条件因子的价值和条件表现功能进行整体评估。在本文中，首先构建一种算法寻求一致的契合和不适合质量分拣扇区。然后基于这些一致的拟合和不适合质量分拣扇区，构建匹配测量运算符以测量每个预选计划和外部环境之间的匹配程度。拥有最大匹配程度的预选计划是该环境条件下的最佳计划。

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