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Deriving Weights of the Decision Makers Using AHP Group Consistency Measures

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Języki publikacji
EN
Abstrakty
EN
In AHP group decision making it is desirable that decision makers achieve the highest degree of consensus concerning the group priority vector at both levels, local and the final. Based on this philosophy, we have developed a method to derive local group priority vector respecting the three group consistency measures: geometric cardinal consensus index (GCCI), group minimum violation coefficient (GMV) and ordinal consensus measure (OCM). Consistency of individual decisions against the group decision serves as an input to determine the weights of decision makers participating in the group and generate the group local priority vector. Proposed method rewards cooperation between members of the group and raises chances for their consensus.
Wydawca
Rocznik
Strony
383--395
Opis fizyczny
Bibliogr. 40 poz., tab.
Twórcy
  • University of Novi Sad, Faculty of Agriculture, Department of Water Management, Trg D. Obradovica 8, 21000 Novi Sad, Serbia
autor
  • University of Novi Sad, Faculty of Agriculture, Department of Water Management, Trg D. Obradovica 8, 21000 Novi Sad, Serbia
autor
  • University of Novi Sad, Faculty of Agriculture, Department of Water Management, Trg D. Obradovica 8, 21000 Novi Sad, Serbia
autor
  • University of Novi Sad, Faculty of Agriculture, Department of Water Management, Trg D. Obradovica 8, 21000 Novi Sad, Serbia
Bibliografia
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  • [7] Srdjevic B, Srdjevic B, Blagojevic B, Cukaliev O. Multi-Criteria Evaluation of Groundwater Ponds as Suppliers to Urban Water Distribution Systems. Springer Netherlands; 2014. ISBN:978-94-007-7161-1. doi:10.1007/978-94-007-7161-1 9.
  • [8] Srdjevic Z, Srdjevic B, Blagojevic B, Pipan M. Innovative Group Decision Making Framework for Sustainable Management of Regional Hydro-Systems. NATO Science for Peace and Security Series C: Environmental Security. Springer Netherlands; 2014. doi:10.1007/978-94-007-7161-1 7.
  • [9] Ramanathan R, Ganesh LS. Group preference aggregation methods employed in AHP: An evaluation and an intrinsic process for deriving members’ weightages. European Journal of Operational Research. 1994;79(2):249–265. doi:10.1016/0377-2217(94)90356-5.
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  • [18] Blagojevic B, Srdjevic B, Srdjevic Z, Lakicevic M. Allocation of budget funds on agricultural loan programs: group consensus decision making in the Provincial Fund for Agricultural Development of Vojvodina Province in Serbia. Industrija (Journal of Economics Institute). 2012;40(3):57–70. ISSN: 2334-8526.
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  • [20] Ju YB, Wang AH. Projection method for multiple criteria group decision making with incomplete weight information in linguistic setting. Applied Mathematical Modelling. 2013;37(20-21):9031–9040. doi:10.1016/j.apm.2013.04.027.
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  • [22] Xu Z, Cai X. Minimizing group discordance optimization model for deriving expert weights. Group Decision and Negotiation. 2012;21(6):863–875. doi:10.1007/s10726-011-9253-7.
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  • [24] Srdjevic B, Srdjevic Z, Blagojevic B, Suvocarev K. A two-phase algorithm for consensus building in AHP-group decision making. Applied Mathematical Modelling. 2013;37(10-11):6670–6682. doi:10.1016/j.apm.2013.01.028.
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  • [38] Srdjevic B, Srdjevic Z. Bi-criteria evolution strategy in estimating weights from the AHP ratio-scale matrices. Applied Mathematics and Computation. 2011;218(4):1254–1266. doi:10.1016/j.amc.2011.06.006.
  • [39] Srdjevic B, Srdjevic Z. Synthesis of individual best local priority vectors in AHP-group decision making. Applied Soft Computing. 2013;13(4):2045–2056. doi:10.1016/j.asoc.2012.11.010.
  • [40] Yuen KKF. Analytic hierarchy prioritization process in the AHP application development: A prioritization operator selection approach. Applied Soft Computing. 2010;10(4):975–989. doi:10.1016/j.asoc.2009.08.041.
Uwagi
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-91602d66-d014-44dd-80bb-01680aaa604e
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