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1.2.2 Attributes’ Interactions

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In any MADM, the decision‐maker is dealing with the presence of a number of evaluation criteria. In essence, each MADM method offers a different approach to aggregate each criterion’s value to obtain an optimal solution. Based on that notion MADM methods are divided into two main categories, namely, compensatory and noncompensatory (Jeffreys 2004). In compensatory techniques, the poor performance of an alternative in some criteria can be compensated by high performance in some other criteria. Therefore, the aggregated performance of an alternative might not reveal its weakness area. In contrast, in noncompensatory techniques, the significant poor performance of an alternative in some criteria cannot be compensated with high performance in other criteria. The aggregated performance reflect this fact. In other words, each criterion can independently play a crucial rule in the aggregated performance of an alternative (Banihabib et al. 2017).

A Handbook on Multi-Attribute Decision-Making Methods

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