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Multi criteria decision making with overlapping criteria

By: Material type: Mixed materialsMixed materialsPublication details: 2012Description: 137-142Subject(s): NLM classification:
  • 658.401
In: MANAGEMENT REVIEWMSummary: The evidential reasoning algorithm for multi criteria decision making (MCDM) performs aggregation of the assessments of multiple experts, one each for every attribute of a givn system. Two variants of ER are proposed, that handle a scenario wheremore than one expert assesses an attribute. The first algorithm handles the case of multiple experts who assess an attribute of a larger system. Experiments compare a modification of ER for this scenario which results in poorer detection. The second algorithm is used when experts have overlapping areas of expertise among the subsystems. A comparision is made with a variant of ER in the literature. Both algorithms are examples of novel ' exclusive and 'inclusive' ER
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The evidential reasoning algorithm for multi criteria decision making (MCDM) performs aggregation of the assessments of multiple experts, one each for every attribute of a givn system. Two variants of ER are proposed, that handle a scenario wheremore than one expert assesses an attribute. The first algorithm handles the case of multiple experts who assess an attribute of a larger system. Experiments compare a modification of ER for this scenario which results in poorer detection. The second algorithm is used when experts have overlapping areas of expertise among the subsystems. A comparision is made with a variant of ER in the literature. Both algorithms are examples of novel ' exclusive and 'inclusive' ER

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