[1. Bouzon, M., K. Govindan, C. Rodriguez. Evaluating Barriers for Reverse Logistics Implementation undera Multiple Stakeholders’ Perspective Analysis Using Grey Decision Making Approach. Resources. - Conservation and Recycling, 2017, Science Direct (in Press).10.1016/j.resconrec.2016.11.022]Search in Google Scholar
[2. Büyüközkan, G., S. Güleryüz. An Integrated DEMATEL-ANP Approach for Renewable Energy Resources Selection in Turkey. - Production Economics. Vol. 182, 2016, pp. 435-448.10.1016/j.ijpe.2016.09.015]Search in Google Scholar
[3. Chen, Y. C., Lien, H. P. Lien, G. H. Tzeng. Measures and Evaluation for Environment Watershed Plans Usinga Novel Hybrid MCDM Model. Expert Systems with Applications, Vol. 37, Issue 2, 2010, pp. 926-938.10.1016/j.eswa.2009.04.068]Search in Google Scholar
[4. Firouzabadi, S., S. Mehriz i. ERP Software Quality Assessment Using Fuzzy VIKOR. - Uncertain Supply Chain Management. Vol. 3, 2015, No 2, pp. 189-196.10.5267/j.uscm.2014.12.001]Search in Google Scholar
[5. Gartner. Magic Quadrant for Business Intelligence and Analytics Platforms. Gartner, Inc., 2016. 68 p.]Search in Google Scholar
[6. Ghorabaee, M. K., M. Amiri, J. S. Sadaghiani, E. K. Zavadskas. Multi-Criteria Project Selection Using an Extended VIKOR Method with Interval Type-2 Fuzzy Sets. - Information Technologies and Decision Making, Vol. 14, 2015, Issue 05, pp. 993-1016.10.1142/S0219622015500212]Search in Google Scholar
[7. Görener, A. ERP Software Selection Usinga Combined ANPand VIKOR Approach. - Havacilik Ve Uzay Teknolojileri Dergisi. Vol. 5, 2011, No 1, pp. 97-110.]Search in Google Scholar
[8. Gul, M., E. Celik, N. Aydin, A. T. Gumus, A. F. Guneri, A State of the Art Literature Review of VIKORand its Fuzzy Extensions on Applications. - Applied Soft Computing, Vol. 46, 2016, pp. 60-89.10.1016/j.asoc.2016.04.040]Search in Google Scholar
[9. Hori, S., Y. Shimiz u. Designing Methods of Human Interface for Supervisory Control Systems. - Control Engineering Practice, Vol. 7, 1999, No 11, pp. 1413-1419.10.1016/S0967-0661(99)00112-4]Search in Google Scholar
[10. Hu, J., Y. Zhang, X. Chen, Y. Liu. Multi-Criteria Decision Making Method Based on Possibility Degree of Interval Type-2 Fuzzy Number. - Knowledge-Based Systems, Vol. 43, 2013, pp. 21-29.10.1016/j.knosys.2012.11.007]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. Ilieva, G. TOPSIS Modification with Interval Type-2 Fuzzy Numbers. - Cybernetics and Information Technologies, Vol. 16, 2016, No 2, pp. 60-68.10.1515/cait-2016-0020]Search in Google Scholar
[13. Lee, L.-W., S.-M. Chen. Fuzzy Interpolative Reasoning Using Interval Type-2 Fuzzy Sets. - In: N. T. Nguyen, L. Borzemski, A. Grzech, M. Ali, Eds. New Frontiers in Applied Artificial Intelligence, Springer, 2008, pp. 92-101.10.1007/978-3-540-69052-8_10]Search in Google Scholar
[14. Mardani, A., A. Jusoh, E. K. Zavadska s. 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. Fuzzy Ordering on the Basis of Multi-Criteria Aggregation. - Cybernetics and Systems, Vol. 29, 1998, Issue 6, pp. 613-623.10.1080/019697298125542]Search in Google Scholar
[17. Peneva, V., I. Popchev. Fuzzy Logic Operators in Decision-Making. - Cybernetics and Systems, Vol. 30, 1999, Issue 8, pp. 725-745.10.1080/019697299124966]Search in Google Scholar
[18. Peneva, V., I. Popchev. Aggregation of Fuzzy Relations Using Weighting Function. - Compt. Rend. Acad. bulg. Sci., Vol. 60, 2007, No 10, pp. 1047-1052.]Search in Google Scholar
[19. Peneva V., I. Popchev. Fuzzy Criteria Importance with Weighting Functions. - Comp. Rend. Acad. bulg. Sci. Vol. 61, 2008, No 3, pp. 293-300.]Search in Google Scholar
[20. Peneva, V., I. Popchev. Models for Fuzzy Multicriteria Decision Making Based on Fuzzy Relations. - Compt. Rend. Acad. bulg. Sci., Vol. 62, 2009, No 5, pp. 551-558.]Search in Google Scholar
[21. 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
[22. Popchev, I., V. Peneva . 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
[23. Radeva, I. Multi-Criteria Models for Cluster Design. - Cybernetics and Information Technologies, Vol. 13, 2013, No 1, pp. 18-33.10.2478/cait-2013-0003]Search in Google Scholar
[24. 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
[25. Runkler, T., S. Coupland, R. John. Interval Type-2 Fuzzy Decision Making. - Approximate Reasoning, Vol. 80, 2017, pp. 217-224.10.1016/j.ijar.2016.09.007]Search in Google Scholar
[26. Shao, J., M. Taisch, M Ortega-Mier. A Grey-DEcision-MAking Trial and Evaluation Laboratory (DEMATEL) Analysis on the Barriers between Environmentally Friendly Products and Consumers: Practitioners‘ Viewpoints on the European Automobile Industry. - Cleaner Production. Vol. 112, 2016, pp. 3185-3194.10.1016/j.jclepro.2015.10.113]Search in Google Scholar
[27. Tadić, S., S. Zečević, M. Krstić. A Novel Hybrid MCDM Model Based on Fuzzy DEMATEL, Fuzzy ANPand Fuzzy VIKORfor City Logistics Concept Selection. - Expert Systems with Applications, Vol. 41, 2014, Issue 18, pp. 8112-8128.10.1016/j.eswa.2014.07.021]Search in Google Scholar
[28. Wang, X., E. Kerre. On the Classification and the Dependencies of the Ordering Methods. - In: D. Ruan, Ed. Fuzzy Logic Foundations and Industrial Applications. Kluwer Academic Publishers, Dordrecht, 1996, pp. 73-90.10.1007/978-1-4613-1441-7_4]Search in Google Scholar
[29. Yazdani, M., F. R. Graeml. VIKORand Its Applications: A State-of-the-Art Survey. - Strategic Decision Sciences, Vol. 5, 2014, Issue 2, pp. 56-83.10.4018/ijsds.2014040105]Search in Google Scholar