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Decision making with dempster-shafer theory and uncertain induced aggregation operators

Escuela Superior de Gestión Comercial y Marketing, ESIC
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We develop a new approach for decision making with Dempster-Shafer (D-S) theory of evidence. We focus on a problem where the available information is uncertain and it can be assessed with interval numbers. In order to aggregate the information, we suggest the use of different types of uncertain induced aggregation operators such as the uncertain induced ordered weighted averaging (UIOWA) and the uncertain induced hybrid averaging (UIHA) operator. We also develop an application of the new approach in a decision making problem about selection of investments.

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