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On Information Technology Application in Public Management

机译:论公共管理中的信息技术应用

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摘要

Widely used mathematical models begin to penetrate in public management system. Several decades ago methods of operational calculus, decision-making under condition of uncertainty and other static theories were used. Nowadays, more and more attention is paid to dynamic systems, used as basic for various forecasting approaches. In governmental planning significant roles belong to aims and targets expressed through slogans and proclamations without numerical backing. At the same time statistical services regularly collect huge amounts of different indices. Then these indices are somehow combined into aggregates. Thus there pyramids appear consisting of aggregates, expressing public management aims and targets. However the problem of target `digitization' has more than one solution. On solving this problem some experts are involved, who are subjective, and also priorities on which aggregates are based on transform if political, economical or social situation changes. Thereby the indices pyramids are time-dependent, which makes comparison and other analysis rather complicated. Suggested in this paper method allows to choose a `natural' index instead of aggregate, but to choose with preserving the experts priorities. This method is based on defining a collation metric for time series with `natural' and aggregate indices (gained with experts' participation). A comparison of different metrics for real numerical data is made.
机译:广泛使用的数学模型开始渗透公共管理系统。几十年前运营微积分的方法,使用了不确定度条件和其他静态理论的决策。如今,越来越多地关注动态系统,用作各种预测方法的基本。在政府规划中,主要角色属于通过口号和公告表达的目标和目标,没有数值支持。同时统计服务定期收集大量不同的指数。然后,这些指数以某种方式组合成聚集体。因此,金字塔出现在聚集体组成,表达公共管理目标和目标。然而,目标“数字化”的问题有多个解决方案。在解决这一问题的情况下,一些专家涉及一个主观的主观,以及如果政治,经济或社会情况发生变化,汇总基于转化的优先事项。因此,指数金字塔是时间依赖的,这使得比较和其他分析相当复杂。本文建议允许选择“自然”指数而不是聚合,而是选择保留专家的优先事项。该方法是基于定义与“自然”和聚合指数的时间序列的整理度量(与​​专家参与获得)。进行了实际数值数据的不同度量的比较。

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