The Alpha Max Plus Beta Min algorithm is a decision-making framework used primarily in multi-criteria decision analysis (MCDA) and operations research. It is useful for evaluating alternatives when there are multiple conflicting criteria. The basic idea behind this algorithm is to establish a systematic way to score or rank options based on their performance across different criteria. ### Key Components: 1. **Criteria**: The algorithm considers multiple criteria (attributes) that are important for evaluating alternatives.

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