Increasing the Discrimination Power in a Voting System
Subject Areas : Applied Mathematics
1 - Department of Mathematics,
Islamic Azad University, Khorasgan Branch, Isfahan, Iran
Keywords:
Abstract :
[1] S.J. Brams, P.C. Fishburn, Voting procedures, in: K.J. Arrow, A.K. Sen, K. Suzumura (Eds.), Handbook of
Social Choice and Welfare, Vol. 1, Elsevier, Amsterdam, 2002, page 226.
[2] W.D. Cook and M. Kress. A data envelopment model for aggregating preference rankings, Management Science 36(1990)1302-1310.
[3] R.H. Green, J.R. Doyle, W.D. Cook. Preference voting and project ranking using DEA and cross-evaluation,
European Journal of Operational Research 90 (3)(1996) 461-472.
[4] A.A. Foroughi and M. Tamiz. An effective total ranking model for a ranked voting system, Omega 33 (2005)
491-496
[5] A.A. Foroughi, D.F. Jones and M. Tamiz. A selection method for a preferential election, Applied Mathematics
and Computation 163 (2005) 107-116
[6] A Hadi-Vencheh, MN Mokhtarian, Three new models for preference voting and aggregation, Journal of the
Operational Research Society, 2009, 60(7), 1036-1037
[7] A Hadi-Vencheh, M Niazi-Motlagh, An improved voting analytic hierarchy process–data envelopment analysis methodology for suppliers selection, International Journal of Computer Integrated Manufacturing, 2011,
24(3), 189-197
[8] A Hadi-Vencheh, Two effective total ranking models for preference voting and aggregation, Mathematical
Sciences, 2014, 8(1), 1-4
[9] A. Hashimoto. A ranked voting system using a DEA/AR exclusion model: A note, European Journal of Operational Research 97 (1997) 600-604.
[10] M Izadikhah, RF Saen, A new preference voting method for sustainable location planning using geographic
information system and data envelopment analysis, Journal of Cleaner Production, 2016, 137, 1347-1367
[11] M Izadikhah, SH Mirzaei, A new DEA-based voting method for ranking and evaluating the influence of emarketing on bank performance, International Journal of Business Excellence, 2019, 19(4), 574 – 594
[12] Izadikhah, M., Farzipoor Saen, R. Solving voting system by data envelopment analysis for assessing sustainability of suppliers. Group Decis Negot 28, 641–669 (2019). https://doi.org/10.1007/s10726-019-09616-7
[13] M Izadikhah, E Karapinar, Enhanced Multi-Objective Voting Data Envelopment Analysis Models with Common Set of Weights, Mathematical Analysis and Convex Optimization, 2020, 1(2), 45-58
[14] H. Noguchi, M. Ogawa and H. Ishii. The appropriate total ranking method using DEA for multiple categorized purposes, Journal of Computational and Applied Mathematics 146 (2002) 155-166
[15] T. Obata and H. Ishii. A method for discriminating efficient candidates with ranked voting data, European
Journal of Operational Research 151 (2003) 233-237.
[16] Y.M. Wang, J.Liu and T.M.S. Elhag. An integrated AHP-DEA methodology for bridge risk assessment, Computers & Industrial Engineering 54 (2008) 513-525.
[17] Y.M. Wang, K.S. Chin and J.B. Yang. Three new models for preference voting and aggregation, Journal of
the Operational Research Society 58 (2007) (10) 1389-1393.