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Expert computer knowledge-based methodology using fuzzy sets for evaluating water conservation programs in Jordan

机译:基于模糊知识的专家计算机知识方法论,用于评估约旦的节水计划

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This paper aims to devise a new methodology for evaluating water conservation programs based on expert computer knowledge-based systems and fuzzy set analyses. Computer-programmed surveys were carried out on a random sample of water users in Amman City, Jordan, before and after they received water educational material. Relative weights were given for each response and a cumulative grade was estimated. The follow-up surveys reveal that a reasonable rise of water-related knowledge is achieved after respondents are exposed to water educational material. Fuzzy set analyses reveal that some fluctuations in the relative rise of public awareness programs may be attributed to insufficient knowledge. The fuzzy set logic technique enabled us to condense a great many data into a small set of variable rules. This in turn made our expert system effective in evaluating water conservation programs.
机译:本文旨在基于专家计算机知识为基础的系统和模糊集分析,设计一种评估节水计划的新方法。在约旦安曼市接受用水教育资料之前和之后,对随机抽取的用水者进行了计算机编程调查。给出每个响应的相对权重,并估计累积等级。后续调查显示,在受访者接触过水教育材料后,与水有关的知识得到了合理的提高。模糊集分析表明,公众意识计划相对上升的某些波动可能归因于知识不足。模糊集逻辑技术使我们能够将大量数据压缩为一小组可变规则。反过来,这使我们的专家系统可以有效地评估节水计划。

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