[1. Angelova, V. Investigations in the Area of Soft Computing Targeted State of the Art Report. - Cybernetics and Information Technologies, Vol. 9, 2009, No 1, pp. 18-24.]Search in Google Scholar
[2. Ashtiani, B., F. Haghighirad, A. Makui, G. Montazer. Extension of Fuzzy TOPSIS Method Based on Interval-Valued Fuzzy Sets. - Applied Soft Computing, Vol. 9, 2009, No 2, pp. 457-461.10.1016/j.asoc.2008.05.005]Search in Google Scholar
[3. Behzadia n, М., S. Khanmohammadi Otaghsara, M. Yazdani, J. Ignatius. A State-of the-Art Survey of TOPSIS Applications. - Expert Systems with Applications, Vol. 39, 2012, Issue 17, pp. 13051-13069.10.1016/j.eswa.2012.05.056]Search in Google Scholar
[4. Celik, E., M. Gul, N. Aydin, A. Taskin Gumus, A. Fuat Guneri. A Comprehensive Review of Multi Criteria Decision Making Approaches Based on Interval Type-2 Fuzzy Sets. - Knowledge-Based Systems, Vol. 85, 2015, pp. 329-341.10.1016/j.knosys.2015.06.004]Search in Google Scholar
[5. Chen, C.-T. Extensions of the TOPSISfor Group Decision-Making under Fuzzy Environment. - Fuzzy Sets and Systems, Vol. 114, 2000, No 1, pp. 1-9.10.1016/S0165-0114(97)00377-1]Search in Google Scholar
[6. Chen, S.-M., L.-W. Lee. Fuzzy Multiple Attributes Group Decision-Making Based on the Interval Type-2 TOPSIS Method. - Expert Systems with Applications, Vol. 37, 2010, No 4, pp. 790-2798.10.1016/j.eswa.2009.09.012]Search in Google Scholar
[7. Chu, T. C., Y. C. Lin. A Fuzzy TOPSIS Method for Robot Selection. - International Journal of Advanced Manufacturing Technology, Vol. 21, 2003, pp. 284-290. 10.1007/s001700300033]Search in Google Scholar
[8. Dymova, L., P. Sevastjano v, A. Tikhonenko. An Interval Type-2 Fuzzy Extension of the TOPSIS Method Using Alpha Cuts. - Knowledge-Based Systems, Vol. 83, 2015, Issue C, pp. 116-127.10.1016/j.knosys.2015.03.014]Search in Google Scholar
[9. Gartner. Magic Quadrant for Business Intelligence and Analytics Platforms. Annual Report, 2016. https://www.gartner.com/doc/reprints?id=1-2XXET8P&ct=160204&st=sb]Search in Google Scholar
[10. Ghazanfari, M., S. Rouhani, M. Jafari. A Fuzzy TOPSIS Model to Calculate the Business Intelligence Competencies of Port Community Systems. - Polish Maritime Research 2(82), Vol. 21, 2014, pp. 86-96.10.2478/pomr-2014-0023]Search in Google Scholar
[11. Ilieva, G. A Fuzzy Approach for Bidding Strategy Selection. - Cybernetics and Information Technologies, Vol. 12, 2012, No 1, pp. 61-69. 10.2478/cait-2012-0005]Search in Google Scholar
[12. Jahanshahloo, G. R., H. F. Lotfi, M. Izadikhah. Extension of the TOPSIS Method for Decision-Making Problems with Fuzzy Data. - Applied Mathematics and Computation, Vol. 181, 2006, No 2, pp. 1544-1551.10.1016/j.amc.2006.02.057]Search in Google Scholar
[13. Kahraman, C., B. Oztaysi, E. Turanoglu. Fuzzy Analytic Hierarchy Process with Interval Type-2 Fuzzy Sets. - Knowledge-Based Systems, Vol. 59, 2014, pp. 48-57.10.1016/j.knosys.2014.02.001]Search in Google Scholar
[14. Mardani, A., A. Jusoh, E. K. Zavadskas. Fuzzy Multiple Criteria Decision-Making Techniques and Applications - Two Decades Review from 1994 to 2014 Expert Systems with Applications, Vol. 42, 2015, Issue 8, pp. 4126-4148.10.1016/j.eswa.2015.01.003]Search in Google Scholar
[15. Mendel, J. M., R. I. John. Interval Type-2 Fuzzy Logic Systems Made Simple. - IEEE Transactions on Fuzzy Systems, Vol. 14, 2006, No 6, pp. 808-821.10.1109/TFUZZ.2006.879986]Search in Google Scholar
[16. Peneva, V., I. Popchev. An Algorithm for Comparison of Fuzzy Sets. - Fuzzy Sets and Systems, Vol. 60, 1993, Issue 1, pp. 59-65.10.1016/0165-0114(93)90289-T]Search in Google Scholar
[17. Peneva, V., I. Popchev. Fuzzy Multi-Criteria Decision Making Algorithms. - Compt. Rend. Acad. Bulg. Sci., Vol. 63, 2010, No 7, pp. 979-992.]Search in Google Scholar
[18. Peneva, V., I. Popchev. Models for Decision Making by Fuzzy Relations and Fuzzy Numbers for Criteria Evaluations. - Compt. Rend. Acad. Bulg. Sci., Vol. 62, 2009, No 10, pp. 1217-1222.]Search in Google Scholar
[19. Peneva, V., I. Popchev. Multicriteria Decision Making by Fuzzy Relations and Weighting Functions for the Criteria. - Cybernetics and Information Technologies, Vol. 9, 2009, No 4, pp. 58-71.]Search in Google Scholar
[20. Radeva, I. Multi-Criteria Models for Cluster Design. - Cybernetics and Information Technologies, Vol. 13, 2013, pp. 18-33.10.2478/cait-2013-0003]Search in Google Scholar
[21. Rezvani, S. Representation of Trapezoidal Fuzzy Numbers with Shape Function. Annals of Fuzzy Mathematics and Informatics, Vol. 8, 2014, No 1, pp. 89-112.]Search in Google Scholar
[22. Rouhani, S., M. Ghazanfari, M. Jafari. Evaluation Model of Business Intelligence for Enterprise Systems Using Fuzzy TOPSIS. - Expert Systems with Applications, Vol. 39, 2012, pp. 3764-3771.10.1016/j.eswa.2011.09.074]Search in Google Scholar
[23. Soloukdar, A., A. Parpanci. Comparing Fuzzy AHPand Fuzzy TOPSISfor Evaluation of Business Intelligence Vendors. - Decision Science Letters, Vol. 4, 2015, pp. 137-164. 10.5267/j.dsl.2015.1.002]Search in Google Scholar