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A MODIFIED D NUMBERS METHODOLOGY FOR ENVIRONMENTAL IMPACT ASSESSMENT

机译:用于环境影响评估的改进D数字方法

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Environmental impact assessment (EIA) is usually evaluated by many factors influenced by various kinds of uncertainty or fuzziness. As a result, the key issues of EIA problem are to represent and deal with the uncertain or fuzzy information. D numbers theory, as the extension of Dempster-Shafer theory of evidence, is a desirable tool that can express uncertainty and fuzziness, both complete and incomplete, quantitative or qualitative. However, some shortcomings do exist in D numbers combination process, the commutative property is not well considered when multiple D numbers are combined. Though some attempts have made to solve this problem, the previous method is not appropriate and convenience as more information about the given evaluations represented by D numbers are needed. In this paper, a data-driven D numbers combination rule is proposed, commutative property is well considered in the proposed method. In the combination process, there does not require any new information except the original D numbers. An illustrative example is provided to demonstrate the effectiveness of the method.
机译:环境影响评估(EIA)通常受到各种不确定性或模糊性的许多因素的评估。结果,EIA问题的关键问题是表示和处理不确定或模糊信息。 D数字理论,作为Dempster-Shafer证据的延伸,是一种理想的工具,可以表达不确定和模糊,既完全和不完整,定量或定性。但是,某些缺点确实存在于D编号组合过程中,在组合多个D号时,换向性不得很好地考虑。虽然一些尝试解决了这个问题,但之前的方法是不合适的,并且提供关于所需的给定评价的更多信息。在本文中,提出了一种数据驱动的D编号组合规则,以所提出的方法考虑了换向性。在组合过程中,除原始D号之外不需要任何新信息。提供说明性示例以证明该方法的有效性。

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