20.500.12556/RUL-127134 Symmetric projection group approach for promoting homogeneity in the analytic hierarchy process The complexity of the socio-economic environment requires the involvement of a group of decision makers in the decision-making process. They can contribute the diversity of knowledge and experience that allow all the important aspects of the decision-making problem to be taken into account. In the aggregation process, the weights of the decision makers play an important role. In this paper we have focused on the group analytic hierarchy process (AHP). We emphasized the homogeneity of the opinions of the decision makers as the basis for determining the importance weights of the decision makers. We reviewed the projection method and its upgrades for determining decision makers weights and demonstrated with examples that they are not suitable for application in AHP. We proposed a new symmetric projection method that eliminates the imperfections of the previous projection methods. We proposed a Symmetric Projection Group Approach (SPGA) to derive group weights in AHP. To validate the SPGA, we selected four evaluation measures. The evaluation of the examples shows that the SPGA achieves good evaluation results compared to the other methods for deriving decision makers weights and is suitable for real-world applications. decision support systems analytic hierarchy process group decision making importance weights of decision makers projection method sistemi za podporo odločanju skupinsko odločanje projekcijska metoda uteži pomembnosti odločevalcev operacijska raziskovanja analitični hierarhični proces true false true Angleški jezik Slovenski jezik Neznano 2021-05-19 11:36:16 2021-05-19 11:36:23 2022-09-06 03:49:52 0000-00-00 00:00:00 2021 0 0 9 str. article 105343 Vol. 133 0000-00-00 PostprintKoncna Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 2024-05-02 519.8 0305-0548 10.1016/j.cor.2021.105343 62565379 https://doi.org/10.1016/j.cor.2021.105343 1 a0b665ff-b885-11eb-a523-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=143362 RAZ_Groselj_Petra_2021.pdf RAZ_Groselj_Petra_2021.pdf 1 C04B5B8F31576DE53B060EE6DC756875 a6f5fbb1ec7ba37c126f802885e4bbe5631c4f94ec2832a71bbd776c19f80154 1eaa881a-b886-11eb-a523-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=143363 Biotehniška fakulteta 0 0 0