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AHP Consensus

Group Consensus Cluster Analysis

The program clusters a group of decision makers into smaller subgroups with higher consensus. For each pair of decision makers the similarity of priorities is calculated, using Shannon alpha and beta entropy. The result is arranged in a similarity matrix and sorted into clusters of higher similarity based on a consensus threshold.
See Goepel 2022 (preprint) for more details.

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AHP-OS author: Klaus D. Goepel, BPMSG. Contact Last update: Apr 28, 2022 Rev: 206
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