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An evidential reasoning based multiple attribute decision making approach under fixed attributes

机译:固定属性下基于证据推理的多属性决策方法

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摘要

Evidential reasoning(ER) is one of the multi-attribute decision making(MADM) approaches that can cope with uncertainties and ambiguities which may caused by the subjective judgments of decision makers. In a MADM problem, many kinds of indicators are always involved, for instance, profit indicator, cost indicator, deviated indicator, fixed indicator and so on. The present ER approach only considers the first three kinds of indicator, so it limits the application of the ER based assessment approach. In the paper, the ER based MADM approach is extended to deal with fixed indicator. Specifically, we will analyze the frame of discernment of fixed indicator, and the transformation methods from the assessment of fixed indicator to probability assignment on evaluation grades are also given. So we will get the ER approach based on profit indicator, cost indicator and fixed indicator.
机译:证据推理(ER)是一种多属性决策方法(MADM),可以应对决策者的主观判断可能导致的不确定性和歧义。在MADM问题中,总是涉及许多指标,例如,利润指标,成本指标,偏差指标,固定指标等。当前的ER方法仅考虑前三种指标,因此它限制了基于ER的评估方法的应用。在本文中,基于ER的MADM方法被扩展为处理固定指标。具体来说,我们将分析固定指标的识别框架,并给出从固定指标评估到评估等级概率分配的转换方法。因此,我们将基于利润指标,成本指标和固定指标获得ER方法。

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