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Pro-Quality Choice a Machine by Using Ordered Fuzzy Numbers Model


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Boran, F.E., Genc, S., Kurt, M., Akay, D., 2009. A multi-criteria intuitionistic fuzzy group decision making for supplier selection with TOPSIS method, Expert Systems with Applications, 36, 8, 11363-11368, DOI: https://doi.org/10.1016/j.eswa.2009.03.03910.1016/j.eswa.2009.03.039Search in Google Scholar

Buyukozkan, G., Cifci, G., 2012. A novel hybrid MCDM approach based on fuzzy DEMATEL, fuzzy ANP and fuzzy TOPSIS to evaluate green suppliers, Expert Systems with Applications, 39, 3, 3000-3011, DOI: https://doi.org/10.1016/j.eswa.2011.08.16210.1016/j.eswa.2011.08.162Search in Google Scholar

Dagdeviren, M., Yavuz, S., Kilinc, N., 2009. Weapon selection using the AHP and TOPSIS methods under fuzzy environment, Expert Systems with Applications, 36, 4, 8143-8151, DOI: https://doi.org/10.1016/j.eswa.2008.10.01610.1016/j.eswa.2008.10.016Search in Google Scholar

Mu, E., Pereyra-Rojas, M., 2017. Practical Decision Making. SpringerBriefs in Operations Research, Appendix A: Practical Questions Related to AHP Modeling, 105-106, DOI: 10.1007/978-3-319-33861-310.1007/978-3-319-33861-3Search in Google Scholar

Nadaban, S., Dzitac, S., Dzitac, I., 2016. Fuzzy TOPSIS: A General View, Procedia Computer Science, 91, 823-831, DOI: 10.1016/j.procs.2016.07.08810.1016/j.procs.2016.07.088Search in Google Scholar

Pacana, A., Siwiec, D., Bednárová, L. 2019. Analysis of the incompatibility of the product with fluorescent method, Metalurgija, 58(3-4), 337-340.Search in Google Scholar

Rudnik, K., Kacprzak, D., 2015. Rozmyta metoda TOPSIS wykorzystują skierowane liczby rozmyte, PTZP, 958-986.Search in Google Scholar

Siwiec, D., Bednárowá, L., Pacana, A. 2020. Metoda doboru penetrantów dla przemysłowych badań nieniszczących, Przemysł Chemiczny, 99(5), 771-773, DOI: 10.15199/62.2020.5.1810.15199/62.2020.5.18Search in Google Scholar

Siwiec, D., Bednárowá, L., Pacana, A., Zawada, M., Rusko, M. 2019. Wspomaganie decyzji w procesie doboru penetrantów fluorescencyjnych do przemysłowych badań nieniszczących, Przemysł Chemiczny, 98(10), 1594-1596, DOI: 10.15199/62.2019.10.1210.15199/62.2019.10.12Search in Google Scholar

Sun, C.C., 2010. A performance evaluation model by integrating fuzzy AHP and fuzzy TOPSIS methods, Expert Systems with Applications, 37, 12, 7745-7754, DOI: https://doi.org/10.1016/j.eswa.2010.04.06610.1016/j.eswa.2010.04.066Search in Google Scholar

Suner, A., Celikoglu, C., Dicle, O., Sokmen, S., 2012. Sequential decision tree using the analytic hierarchy process for decision support in rectal cancer. Artjfjcal Intelligence in Medicine, 1-10, DOI: http://dx.doi.org/10.1016/j.artmed.2012.05.00310.1016/j.artmed.2012.05.00322776889Search in Google Scholar

Wang, T.C., Chang, T.H., 2007. Application of TOPSIS in evaluating initial training aircraft under a fuzzy environment, Expert Systems with Applications, 33, 4, 870-880, DOI: https://doi.org/10.1016/j.eswa.2006.07.00310.1016/j.eswa.2006.07.003Search in Google Scholar

Wang, T.C., Lee, H.D., 2010. Developing a fuzzy TOPSIS approach based on subjective weights and objective weights, Expert Systems with Applications, 36, 5, 8980-8985, DOI: https://doi.org/10.1016/j.eswa.2008.11.03510.1016/j.eswa.2008.11.035Search in Google Scholar

Wang, Y.M., Elhag, T., 2006. Fuzzy TOPSIS method based on alpha level sets with an application to bridge risk assessment, Expert Systems with Applications, 31, 2, 309-319, DOI: https://doi.org/10.1016/j.eswa.2005.09.04010.1016/j.eswa.2005.09.040Search in Google Scholar

Xu, Z., Zhang, X., 2013. Hesitant fuzzy multi-attribute decision making based on TOPSIS with incomplete weight information, Knowledge-Based Systems, 52, 53-64, DOI: https://doi.org/10.1016/j.knosys.2013.05.01110.1016/j.knosys.2013.05.011Search in Google Scholar