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Answers for “如何使用熵方法计算最终客观权重?”

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The entropy values for the four criteria are e1=0.99375e_1=0.99375 for Price or Cost, e2=0.96296e_2=0.96296 for Storage Space, e3=0.97185e_3=0.97185 for Camera, and e4=0.97367e_4=0.97367 for Looks.

Conditions: The example uses 5 alternatives and 4 criteria.; The scaling constant hh is 0.621335.; The matrix has been normalized prior to calculation.

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The entropy formula is ej=−h∑i=1mrijln⁡rije_j=-h\sum_{i=1}^{m}r_{ij}\ln r_{ij}. The constant hh is a scaling factor defined as 1/ln⁡(m)1/\ln(m), where mm is the number of alternatives, ensuring the entropy values are properly scaled.

Conditions: The decision matrix has already been normalized to produce rijr_{ij}.; The natural logarithm ln⁡\ln is used.; mm represents the total number of alternatives (rows).

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The degree of diversification, denoted as djd_j, is defined as 1−ej1 - e_j. It represents the amount of useful information or distinguishing power provided by a specific criterion among the alternatives.

Conditions: The entropy value eje_j has already been calculated for the criterion.; The degree of diversification is always a positive real number in this context.