References
- 1. Chang, J. R., L. Y. Wei, C. H. Cheng. A Hybrid ANFIS Model Based on AR and Volatility for TAIEX Forecasting. – Applied Soft Computing Journal, Vol. 11, 2011, Issue 1, pp. 1388-1395.
- 2. Chen, S. M. Forecasting Enrollments Based on Fuzzy Time Series. – Fuzzy Sets and Systems, Vol. 81, 1996, Issue 3, pp. 311-319.
- 3. Chen, S. M., W. S. Jian. Fuzzy Forecasting Based on Two-Factors Second-Order Fuzzy-Trend Logical Relationship Groups, Similarity Measures and PSO Techniques. – Information Sciences, Vol. 391-392, 2017, pp. 65-79.
- 4. Cheng, C. H., L. Y. Wei, J. W. Liu, T. L. Chen. OWA-Based ANFIS Model for TAIEX Forecasting. – Economic Modelling, Vol. 30, 2013, Issue 1, pp. 442-448.
- 5. Guan, H., S. Guan, A. Zhao. Forecasting Model Based on Neutrosophic Logical Relationship and Jaccard Similarity. – Symmetry, Vol. 9, 2017, Issue 9, 191.
- 6. Guan, H., J. He, Z. Dai, A. Zhao, S. Guan. A Forecasting Model Based on Multi-Valued Neutrosophic Sets and Two-Factor, Third-Order Fuzzy Fluctuation Logical Relationships. – Symmetry, Vol. 10, 2018, Issue 7, 245.
- 7. Hsieh, T. J., H. F. Hsiao, W. C. Yeh. Forecasting Stock Markets Using Wavelet Transforms and Recurrent Neural Networks: An Integrated System Based on Artificial Bee Colony Algorithm. – Applied Soft Computing Journal, Vol. 11, 2011, No 2, pp. 2510-2525.
- 8. Huarng, K. H., T. H. K. Yu. The Application of Neural Networks to Forecast Fuzzy Time Series. – Physica A: Statistical Mechanics and Its Applications, Vol. 336, 2006, Issue 2, pp. 481-491.
- 9. Ilieva, G. Group Decision Analysis Algorithms with EDAS for Interval Fuzzy Sets. – Cybernetics and Information Technologies, Vol. 18, 2018, No 2, pp. 51-64.
- 10. Ilieva, G. Group Decision Analysis with Interval Type-2 Fuzzy Numbers. – Cybernetics and Information Technologies, Vol. 17, 2017, No 1, pp. 31-44.
- 11. Ilieva, G. TOPSIS Modification with Interval Type-2 Fuzzy Numbers. – Cybernetics and Information Technologies, Vol. 16, 2016, No 2, pp. 60-68.
- 12. Ilieva, G., T. Yankova, S. Klisarova-Belcheva. Decision Analysis with Classic and Fuzzy EDAS Modifications. – Computational and Applied Mathematics, Vol. 37, Issue 5, pp. 5650-5680.
- 13. Ilieva, G. Decision Making Methods in Agent Based Modeling. – In: CEUR Workshop Proceedings, Vol. 752, 2011, pp. 8-17.
- 14. Jain, S., P. C. Mathpal, D. Bisht, P. Singh. A Unique Computational Method for Constructing Intervals in Fuzzy Time Series Forecasting. – Cybernetics and Information Technologies, Vol. 18, 2018, No 1, pp. 3-10.
- 15. Jia, J., A. Zhao, S. Guan. Forecasting Based on High-Order Fuzzy-Fluctuation Trends and Particle Swarm Optimization Machine Learning. – Symmetry, Vol. 9, 2017, Issue 7, 124.
- 16. Peneva, V., I. Popchev. Aggregation on Fuzzy Numbers in a Decision Making Situation. – Cybernetics and Systems, Vol. 32, 2001, Issue 8, pp. 871-885.
- 17. Peneva, V., I. Popchev. Fuzzy Criteria Importance Depending on Membership Degrees of Fuzzy Relations. – Compt. Rend. Acad. bulg. Sci., Vol. 61, 2008, No 5, pp. 579-584.
- 18. Peneva, V., I. Popchev. Fuzzy Criteria Importance with Weighting Functions. – Compt. Rend. Acad. bulg. Sci., Vol. 61, 2008, No 3, pp. 293-300.
- 19. Peneva, V., I. Popchev. Fuzzy Logic Operators in Decision-Making. – Cybernetics and Systems. An International Journal (Editor Robert Trappl), Vol. 30, 1999, No 6, pp. 725-745.
- 20. Peneva, V., I. Popchev. Fuzzy Multi-Criteria Decision Making Algorithms. – Compt. Rend. Acad. bulg. Sci., Vol. 63, 2010, No 7, pp. 979-992.
- 21. Peneva, V., I. Popchev. Fuzzy Ordering on the Basis of Multicriteria Aggregation. – Cybernetics and Systems. An International Journal, Vol. 29, Taylor and Francis (Editor Robert Trappl), 1998, No 6, pp. 613-623.
- 22. 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.
- 23. Popchev, I., V. Peneva. An Algorithm for Comparison of Fuzzy Sets. – Fuzzy Sets and Systems, Elsevier Science Publishers, North-Holland, Amsterdam, Vol. 60, 1993, No 1, pp. 59-65.
- 24. Radeva, I. Multicriteria Fuzzy Sets Application in Economic Clustering Problems. – Cybernetics and Information Technologies, Vol. 17, 2017, No 3, pp. 29-46.
- 25. Song, Q., B. S. Chissom. Forecasting Enrollments with Fuzzy Time Series. Part I. – Fuzzy Sets and Systems, Vol. 54, 1993, Issue 1, pp. 1-9.
- 26. Song, Q., B. S. Chissom. Forecasting Enrollments with Fuzzy Time Series. Part II. – Fuzzy Sets and Systems, Vol. 62, 1994, Issue 1, pp. 1-8.
- 27. Srivastava, P. K., D. Bisht. Dichotomized Incenter Fuzzy Triangular Ranking Approach to Optimize Interval Data Based Transportation Problem. – Cybernetics and Information Technologies, Vol. 18, 2018, No 4, pp. 111-119.
- 28. Yu, H. K. Weighted Fuzzy Time Series Models for TAIEX Forecasting. – Physica A: Statistical Mechanics and its Applications, Vol. 349, 2005, Issue 3, pp. 609-624.