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  • A geometric standard deviation based soft consensus model in analytic hierarchy process
    Grošelj, Petra ; Dolinar, Gregor, 08.06.1971-
    Consensus building models are widely studied in connection to the multi-criteria group decision making problems. The aim of such models is to enhance the level of agreement between decision makers ... (DMs). The paper studies several properties and discusses arising questions regarding consensus models in analytic hierarchy process. A new consensus reaching model based on the weighted geometric mean and geometric standard deviation is proposed. A simulation of two scenarios of the novel model is applied to the data from the case study to demonstrate its validity. The results are compared to the three consensus models, selected from the literature. The analysis revealed that the adaptations that DMs accept and make to their judgments in the new consensus model are appropriately high. Consequently, DMs do not have to make subsequent modifications and generally all DMs make minimum one change in the iteration process, which contributes to the comfortable group environment and effective final decisions.
    Type of material - e-article
    Publish date - 2021
    Language - english
    COBISS.SI-ID - 59998979