RMCriteria: a decision making support system package for R

References

• Albuquerque, P. H. M., and M. R. Montenegro. 2016. PROMETHEE IV through kernel density estimation. Communications in Statistics - Theory and Methods 45 (18):5355–62. doi:10.1080/03610926.2014.942432.
   Web of Science ®Google Scholar
• Arda, O. A., D. Delen, E. Tatoglu, and S. Zaim. 2017. An analytic approach to assessing organizational citizenship behavior. Decision Support Systems 103:9–23. doi:10.1016/j.dss.2017.08.004.
   Web of Science ®Google Scholar
• Behzadian, M., R. B. Kazemzadeh, A. Albadvi, and M. Aghdasi. 2010. PROMETHEE: a comprehensive literature review on methodologies and applications. European Journal of Operational Research 200 (1):198–215. doi:10.1016/j.ejor.2009.01.021.
   Web of Science ®Google Scholar
• Brans, J. P., and B. Mareschal. 1992. PROMETHEE V: Mcdm problems with segmentation constraints. INFOR: Information Systems and Operational Research 30 (2):85–96. doi:10.1080/03155986.1992.11732186.
   Web of Science ®Google Scholar
• Brans, J.-P., and B. Mareschal. 2002. Prométhée-Gaia: une méthodologie d’aide à la décision en présence de critères multiples Éditions de l’Université de Bruxelles Bruxelas.
   Google Scholar
• Brans, J.-P., and B. Mareschal. 2005. Promethee methods. In Multiple criteria decision analysis: State of the art surveys, 163–86. Berlin, Germany: Springer.
   Google Scholar
• Brans, J.-P., P. Vincke, and B. Mareschal. 1986. How to select and how to rank projects: The promethee method. European Journal of Operational Research 24 (2):228–38. doi:10.1016/0377-2217(86)90044-5.
   Web of Science ®Google Scholar
• Caravaggio, N., S. Caravella, A. Ishizaka, and G. Resce. 2019. Beyond co2: A multi-criteria analysis of air pollution in Europe. Journal of Cleaner Production 219:576–86.
   Web of Science ®Google Scholar
• Deehr, J. 2018. ‘Decision Analysis’ package: Implementation of Multi Objective Decision Analysis.
   Google Scholar
• Dincer, H., U. Hacioglu, E. Tatoglu, and D. Delen. 2016. A fuzzy-hybrid analytic model to assess investors’ perceptions for industry selection. Decision Support Systems 86:24–34. doi:10.1016/j.dss.2016.03.005.
   Web of Science ®Google Scholar
• Doumpos, M., and C. Zopounidis. 2010. A multicriteria decision support system for bank rating. Decision Support Systems 50 (1):55–63. doi:10.1016/j.dss.2010.07.002.
   Web of Science ®Google Scholar
• Glur, C. 2018. ‘ahp’ package: Analytic Hierarchy Process.
   Google Scholar
• Greco, S., J. Figueira, and M. Ehrgott. 2016. Multiple criteria decision analysis. Berlin, Germany: Springer.
   Google Scholar
• Huang, T. C.-K., Y.-L. Chen, and T.-H. Chang. 2015. A novel summarization technique for the support of resolving multi-criteria decision making problems. Decision Support Systems 79:109–24. doi:10.1016/j.dss.2015.08.004.
   Web of Science ®Google Scholar
• Kilic, H. S., S. Zaim, and D. Delen. 2014. Development of a hybrid methodology for erp system selection: The case of Turkish airlines. Decision Support Systems 66:82–92. doi:10.1016/j.dss.2014.06.011.
   Web of Science ®Google Scholar
• Mareschal, B., J. P. Brans, P. Vincke, et al. 1984. PROMETHEE: A new family of outranking methods in multicriteria analysis. Technical report, ULB–Universite Libre de Bruxelles.
   Google Scholar
• Martin, B. A. C. 2016. ‘FuzzyMCDM’ package: Multi-Criteria Decision Making Methods for Fuzzy Data.
   Google Scholar
• Meyer, P., S. Bigaret, R. Hodgett, and A.-L. Olteanu. 2018. ‘MCDA’ package: Functions to Support the Multicriteria Decision Aiding Process.
   Google Scholar
• Mladineo, N., J. Margeta, J. Brans, and B. Mareschal. 1987. Multicriteria ranking of alternative locations for small scale hydro plants. European Journal of Operational Research 31 (2):215–22. doi:10.1016/0377-2217(87)90025-7.
   Web of Science ®Google Scholar
• Petkov, D., O. Petkova, T. Andrew, and T. Nepal. 2007. Mixing multiple criteria decision making with soft systems thinking techniques for decision support in complex situations. Decision Support Systems 43 (4):1615–29. doi:10.1016/j.dss.2006.03.006.
   Web of Science ®Google Scholar
• Prombo, M. 2014. ‘OutrankingTools’ package: Functions for Solving Multiple-criteria Decision-making Problems.
   Google Scholar
• R Core Team, 2014. R: a language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing.
   Google Scholar
• Raju, K., and D. N. Kumar. 1999. Multicriterion decision making in irrigation planning. Agricultural Systems 62 (2):117–29. doi:10.1016/S0308-521X(99)00060-8.
   Web of Science ®Google Scholar
• Resce, G., M. Tasiou, and F. Vidoli. 2018. ‘PROMETHEE’ package: Me Preference Ranking Organization METHod for Enrichment of Evaluations.
   Google Scholar
• Roy, B. 1985. Méthodologie multicritère d” aide à la décision Economica.
   Google Scholar
• Royes, G. F., and R. C. Bastos. 2006. Uncertainty analysis in political forecasting. Decision Support Systems 42 (1):25–35. doi:10.1016/j.dss.2004.09.009.
   Web of Science ®Google Scholar
• Silverman, B. W. 2018. Density estimation for statistics and data analysis. Abingdon, UK: Routledge.
   Google Scholar
• Vetschera, R., and A. T. De Almeida. 2012. A PROMETHEE-based approach to portfolio selection problems. Computers & Operations Research 39 (5):1010–20. doi:10.1016/j.cor.2011.06.019.
   Web of Science ®Google Scholar
• Wolters, W., and B. Mareschal. 1995. Novel types of sensitivity analysis for additive MCDM methods. European Journal of Operational Research 81 (2):281–90. doi:10.1016/0377-2217(93)E0343-V.
   Web of Science ®Google Scholar
• Yazdi, M. M. 2015. ‘topsis’ package: TOPSIS method for multiple-criteria decision making (MCDM).
   Google Scholar