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In this paper, an approach is proposed for the multiple attribute decision making problem with uncertain interval information based on maximum entropy theory. The attribute weights are determined by maximizing the entropy of the interval decision matrix. The overall interval values of alternatives across the attributes are then calculated, based on which the superiority possibility between the alternatives...
This paper proposes an entropy-based approach to customer value assessment while customers' information are interval numbers. The decision matrix in the form of interval is normalized firstly, In the process of determining the attribute weights, the normalized decision matrix is transformed into a definite one by maximizing entropy of the attributes. Then, the weights of attributes are determined...
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