Assessment Aggregation in the Evidential Reasoning Approach to MADM Under Uncertainty : Orthogonal Versus Weighted Sum
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概要
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In this paper, we revisit the evidential reasoning (ER) approach to multiple-attribute decision making (MADM) with uncertainty. The attribute aggregation problem in MADM under uncertainty is generally formulated as a problem of evidence combination. Then several new aggregation schemes are proposed and simultaneously their theoretical features are explored. A numerical example traditionally examined in published sources on the ER approach is used to illustrate the proposed techniques.
- Springerの論文
Springer | 論文
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