A decision matrix is an arrangement of qualitative or quantitative values in rows and columns that allows an analyst to systematically identify, analyze, and rate the strength of relationships between sets of information. Elements of a decision matrix represent decisions based on certain decision criteria. The matrix is especially useful for looking at large numbers of decision factors and assessing each factor’s relative importance.

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dbpprop:abstract
  • A decision matrix is an arrangement of qualitative or quantitative values in rows and columns that allows an analyst to systematically identify, analyze, and rate the strength of relationships between sets of information. Elements of a decision matrix represent decisions based on certain decision criteria. The matrix is especially useful for looking at large numbers of decision factors and assessing each factor’s relative importance. Decision matrix is used to describe a multi-criteria decision analysis (MCDA) problem. An MCDA problem, where there are M alternative options and each need to be assessed on N criteria, can be described by the decision matrix which has M rows and N columns, or M × N elements, as shown in the following table. Each element, such as Xij, is either a single numerical value or a single grade, representing the performance of alternative i on criterion j. For example, if alternativei is "car i", criterion j is "engine quality" assessed by five grades {Excellent, Good, Average, Below Average, Poor}, and "Car i" is assessed to be "Good" on "Engine Quality", then Xij = "Good".
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  • A decision matrix is an arrangement of qualitative or quantitative values in rows and columns that allows an analyst to systematically identify, analyze, and rate the strength of relationships between sets of information. Elements of a decision matrix represent decisions based on certain decision criteria. The matrix is especially useful for looking at large numbers of decision factors and assessing each factor’s relative importance.
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  • Decision matrix
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