基于MLP-BP和模糊推理的水电厂厂址优化排序

Benjamin A. Shimray, K. M. Singh, Thongam Khelchandra, R. Mehta
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引用次数: 2

摘要

水电厂的选址取决于一套定性和定量的标准,这些标准本质上是模糊的。近年来,在不精确环境下的选址问题引起了人们极大的兴趣和重视。为了解决这一不确定性问题,我们提出了一个多准则决策支持系统,该系统使用神经模糊计算方法对大型水力发电厂的最优排序。这项工作的目的是使世界各地的政策制定者能够选择适当的工业装置地点,考虑到可能对环境和社会产生负面影响的属性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal ranking of hydro power plant sites based on MLP-BP and fuzzy inference approach
Hydro Power Plant site selection depends on a set of qualitative and quantitative criteria, which are vague in nature. In recent years the problem of site selection in an imprecise environment has gained overriding interest and importance. To address this issues of uncertainty, we propose a Multi Criteria Decision Support System which uses Neuro-Fuzzy computational approach for optimal ranking of large hydro power plant sites. The objective of this work is to enable policy maker around the world to select appropriate industrial installation sites, considering attributes that could have negative impact on the environment and society.
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