Page 67 - RAC_CIAW_ a_I_n_01_2021.pdf
P. 67
REFERÊNCIAS BIBLIOGRÁFICAS
Alonso, S., Herrera-Viedma, E., Cabrerizo, F.J., Chiclana, F., Herrera, F.: Visualizing consensus in group
decision making situations. In: Proceedings of the 2007 IEEE International Conference on Fuzzy Systems, p. 1–6.
London (2007). DOI: https://doi.org/10.1109/FUZZY.2007.4295642
Cabrerizo, F.J., Al-Hmouz, R., Morfeq, A., Balamash, A.S., Martínez, M., Herrera-Viedma, E.: Soft consen-
sus measures in group decision making using unbalanced fuzzy linguistic information. Soft Computing 21(11),
3037–3050 (2017). DOI https://doi.org/10.1007/s00500-015-1989-6
Ekel, P., Queiroz J., Parreiras R., e Palhares R.: Fuzzy set based models and methods of multicriteria group
decision making. Nonlinear Analysis: Theory, Methods & Applications, 71(12):e409–e419, 2009.
Figueiredo, L.R., Frej, E.A., Soares, G.L. et al. Group Decision-Based Construction of Scenarios for Multi-
criteria Analysis in Conditions of Uncertainty on the Basis of Quantitative and Qualitative Information.
Group Decis Negot 30, 665–696 (2021). https://doi.org/10.1007/s10726-021-09728-z
Koksalmis, E., Kabak, O.: Deriving decision makers’ weights in group decision making: An overview of
objective methods. Information Fusion 49, 146–160 (2019). DOI: https://doi.org/10.1016/j.inffus.2018.11.009
Koksalmis, E., Koksalmis, G.H., Kabak, O.: A combined method for deriving decision makers’ weights in
group decision making environment: An application in medical decision making. In: Industrial Engineering in the
Big Data Era, pp. 503–513. Springer (2019). DOI https://doi.org/10.1007/978- 3-030-03317-0 41
Lootsma, F.A.: Multi-criteria decision analysis via ratio and difference judgement, vol. 29. Springer Science
& Business Media, Boston (2007). DOI https://doi.org/10.1007/b102374
Parreiras R., Ekel P.: Construction of nonreciprocal fuzzy preference relations with the use of preference
functions. Pesquisa Operacional, 33(2):305–323, 2013.
Parreiras R., Ekel P., Bernardes Jr F.: A dynamic consensus scheme based on a nonreciprocal fuzzy preference
relation modeling. Information Sciences, 211:1–17, 2012.
Parreiras, R.O., Ekel, P.Y., Martini, J., Palhares, R.M.: A flexible consensus scheme for multicriteria group
decision making under linguistic assessments. Information Sciences 180(7), 1075–1089 (2010). DOI http://doi.
org/10.1007/s10726-011-9231-0
Parreiras, R., Ekel, P.Y., Morais, D.: Fuzzy set-based consensus schemes for multicriteria group decision
making applied to strategic planning. Group Decision and Negotiation 21(2), 153–183 (2012). DOI: http://doi.
org/10.1007/s10726-011-9231-0.
Pedrycz, W., Ekel, P., Parreiras, R.: Fuzzy multicriteria decision-making: models, methods and applications.
John Wiley & Sons, Chichester (2011). DOI: http://doi.org/10.1002/978-0-470-97403-2
Ramalho, F., Ekel, P., Pedrycz, W., Pereira, J., Soares, G.: Multicriteria decision making under conditions
of uncertainty in application to multiobjective allocation of resources. Information Fusion 49, 249–261 (2019).
DOI https://doi.org/10.1016/j.inffus.2018.12.010
Toloie-Eshlaghy, A., Nazari Farokhi, E.: Measuring the importance and the weight of decision makers in the
criteria weighting activities of group decision making process. American Journal of Scientific Research 24, 6–12
(2011)
CIAW – EFICIÊNCIA, CULTURA E TRADIÇÃO 67

