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A kind of fuzzy weights representation for inner dependence AHP

机译:内在关联层次分析法的一种模糊权重表示。

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The Analytic Hierarchy Process (AHP) was proposed by Saaty T.L. and has been widely used in decision making. Inner dependence method AHP is one technique for the case in which criteria do not have enough independency. However using original AHP or inner dependence method, the data and results often lose their reliability because the comparison matrix does not always have sufficient consistency. In these cases, fuzzy representation for weighting criteria using results from a sensitivity analysis is useful. In this paper, we first present weights of criteria of normal AHP by means of fuzzy sets, then modified fuzzy weights can be calculated. We can also have overall weights of alternatives by employing some assumptions. The results show how inner dependence AHP has fuzziness when the comparison matrix is not sufficiently consistent and each criterion has not enough independency.
机译:Saaty T.L提出了分析层次过程(AHP)。并且已被广泛用于决策。内依赖方法AHP是一种技术,其中标准没有足够的独立性。但是使用原始AHP或内依赖方法,数据和结果通常会失去其可靠性,因为比较矩阵并不总是具有足够的一致性。在这些情况下,使用来自灵敏度分析的结果的加权标准的模糊表示是有用的。在本文中,首先通过模糊组提出正常AHP的标准权重,然后可以计算改进的模糊重量。我们还可以通过采用一些假设来拥有替代方案的整体重量。结果表明,当比较矩阵不充分一致时,内依赖AHP具有模糊性,并且每个标准都没有足够的独立性。

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