Department of Management, University of Isfahan, Isfahan, Iran.
Department of Management, Najafabad Branch, Islamic Azad University, Najafabad, Iran.
Comput Intell Neurosci. 2022 Aug 21;2022:8629986. doi: 10.1155/2022/8629986. eCollection 2022.
Compensatory multiattribute decision-making (MADM) methods are founded on the trade-offs between attributes, allowing an alternative to compensate for its weakness in an attribute with its strength in another attribute. We call them heterogeneous MADM methods because they generally consider the unlimited trade-off between attributes. In other words, they even allow that very poor performance of an attribute to be compensated by the strong performance of another attribute. However, this may not be acceptable to decision makers (DMs). They may accept the limited trade-offs between attributes, making them more homogeneous. In these situations, MADM methods should be modified to consider the limited trade-offs between attributes. This modification comes with some conceptual and technical difficulties. This study presents some examples to show the concept of limited trade-offs clearly and presents a modified version of the simple additive weighting (SAW) method, H-SAW, considering the limited trade-offs between attributes. We also integrate H-SAW and fuzzy analytic hierarchy process (FAHP) methods to supplier selection and illustrate the real application of H-SAW method.
补偿型多属性决策 (MADM) 方法基于属性之间的权衡，允许替代品在一个属性上的弱点被另一个属性上的优势所弥补。我们称它们为异类 MADM 方法，因为它们通常考虑属性之间的无限权衡。换句话说，它们甚至允许一个属性的非常差的性能被另一个属性的强大性能所弥补。然而，这可能不能被决策者 (DMs) 所接受。他们可能接受属性之间的有限权衡，使它们更具同质性。在这些情况下，MADM 方法应该进行修改，以考虑属性之间的有限权衡。这种修改带来了一些概念和技术上的困难。本研究通过一些例子清楚地展示了有限权衡的概念，并提出了一种基于属性之间有限权衡的简单加性加权 (SAW) 方法的修正版本，即 H-SAW。我们还将 H-SAW 和模糊层次分析法 (FAHP) 方法集成起来，用于供应商选择，并说明了 H-SAW 方法的实际应用。
