ŠAVŠ Studie 2020

Prameny ABDI, H., WILLIAMS, L. J. (2010). Principal component analysis. Wiley Interdiscipli- nary Reviews: Computational Statistics , 2(4), pp. 433-459. ADALI, E., IŞIK, A., KUNDAKCI, K. (2016). An alternative approach based on Fuz- zy PROMETHEE method for the supplier selection problem . Uncertain Supply Chain Management , 4(3), pp. 183-194. AGGARWAL, C. C. (Ed.). (2014). Data classification: algorithms and applications . Boca Raton: CRC Press. BEGG, D., VERNASCA, G., FISCHER, S., DORNBUSCH, R. (2005). Introduction to microeconomics. Economics. The McGraw Hill Companies. BRANS, J. P., DE SMET, Y. (2016). PROMETHEE Methods. Multiple criteria deci- sion analysis. New York: Springer, pp. 187–219. BRANS, J. P., MARESCHAL, B. (1992). PROMETHEE V: MCDM problems with segmentation constraints. INFOR: Information Systems and Operational Research , 30(2), pp. 85-96. BRIGGS, T., KUNSCH, P. L., MARESCHAL, B. (1990). Nuclear waste manage- ment: an application of the multicriteria PROMETHEE methods . European Journal of Operational Research , 44(1), pp. 1-10. DAS, D. (2017). Development and validation of a scale for measuring sustainable sup- ply chain management practices and performance. Journal of Cleaner Production , 164, pp. 1344-1362. DIAS, L. C., COSTA, J. P., CLÍMACO, J. C. (1998). A parallel implementation of the PROMÉTHÉE method. . European Journal of Operational Research , 104, pp. 521-531. DURUCASU, H., AYTEKIN, A., SARAÇ, B., ORAKÇI, E. (2017). Current applicati- on fields of ELECTRE and PROMETHEE. Alphanumeric Journal , 5(2), pp. 229-270. ELKINGTON, J. (1998). Partnerships from cannibals with forks: the triple bottom line of 21st‐century business. Environmental Quality Management , 8, pp. 37-51. GOVINDAN, K., KADZIŃSKI, M., SIVAKUMAR, R. (2017). Application of a no- vel PROMETHEE-based method for construction of a group compromise ranking to prioritization of green suppliers in food supply chain. Omega , 71, pp. 129-145. ISHIZAKA, A., NEMERY, P. (2011). Selecting the best statistical distribution with PROMETHEE and GAIA. Computers & Industrial Engineering , 61(4), pp. 958-969. ISHIZAKA, A., RESCE, G., MARESCHAL, B. (2018). Visual management of performance with PROMETHEE productivity analysis. Soft Computing , 22(22), pp. 7325-7338. JANKOWSKI, J., ZIEMBA, P., WĄTRÓBSKI, J., KAZIENKO, P. (2016) Towards the tradeoff between online marketing resources exploitation and the user experience with the use of eye rracking. Asian Conference on Intelligent Information and Database Systems . Berlin, Heidelberg: Springer, pp. 330-343.

113