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A Unique Computational Method for Constructing Intervals in Fuzzy Time Series Forecasting


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1. Zadeh, L. A. Fuzzy Sets. – Information and Control, Vol. 8, 1965, No 3, pp. 338-353.10.1016/S0019-9958(65)90241-XSearch in Google Scholar

2. Zadeh, L. A. The Concept of a Linguistic Variable and Its Application to Approximate Reasoning. I. – Information Sciences, Vol. 8, 1975, No 3, pp. 199-249.10.1016/0020-0255(75)90036-5Search in Google Scholar

3. Jain, S., D. Bisht. Genetic Algorithms Based Fuzzy Time Series Prediction for Water Table Elevation Fluctuation. – Aloy Journal of Soft Computing and Applications, Vol. 3, 2015, pp. 14-23.Search in Google Scholar

4. Bisht, D., S. Jain, M. M. Raju. Prediction of Water Table Elevation Fluctuation Through Fuzzy Logic and Artificial Neural Networks. – International Journal of Advanced Science and Technology, Vol. 51, 2013, pp. 107-120.Search in Google Scholar

5. Bisht, D. C. S., M. Raju, M. Joshi. Simulation of Water Table Elevation Fluctuation Using Fuzzy-Logic and ANFIS. – Computer Modelling and New Technologies, Vol. 13, 2009, No 2, pp. 16-23.Search in Google Scholar

6. Bortolet, P. Modelisation et Commande Multivariables Floues: Application a la Commande D’un Moteur Thermique. PhD Diss., Toulouse, INSA, 1998.Search in Google Scholar

7. Dunn, J. C. A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters. – Journal of Cybernetics, Vol. 3, 1973, No 3, pp. 32-57.10.1080/01969727308546046Open DOISearch in Google Scholar

8. Krishnapuram, R., J. M. Keller. A Possibilistic Approach to Clustering. – IEEE Transactions on Fuzzy Systems, Vol. 1, 1993, No 2, pp. 98-110.10.1109/91.227387Search in Google Scholar

9. Krishnapuram, R., J. Kim. A Note on the Gustafson-Kessel and Adaptive Fuzzy Clustering Algorithms. – IEEE Transactions on Fuzzy Systems, Vol. 7, 1999, No 4, pp. 453-461.10.1109/91.784208Open DOISearch in Google Scholar

10. Yager, R. R., D. P. Filev. Generation of Fuzzy Rules by Mountain Clustering. – Journal of Intelligent & Fuzzy Systems, Vol. 2, 1994, No 3, pp. 209-219.10.3233/IFS-1994-2301Search in Google Scholar

11. Song, Q., B. S. Chissom. Forecasting Enrollments with Fuzzy Time Series. Part I. – Fuzzy Sets and Systems, Vol. 54, 1993, No 1, pp. 1-9.10.1016/0165-0114(93)90355-LOpen DOISearch in Google Scholar

12. Song, Q., B. S. Chissom. Forecasting Enrollments with Fuzzy Time Series. Part II. – Fuzzy Sets and Systems, Vol. 62, 1994, No 1, pp. 1-8.10.1016/0165-0114(94)90067-1Open DOISearch in Google Scholar

13. Chen, S. M., N. Y. Chung. Forecasting Enrollments of Students by Using Fuzzy Time Series and Genetic Algorithms. – International Journal of Information and Management Sciences, Vol. 17, 2006, No 3, pp. 1-17.Search in Google Scholar

14. Huarng, K. Effective Lengths of Intervals to Improve Forecasting in Fuzzy Time Series. – Fuzzy Sets and Systems, Vol. 123, 2001, No 3, pp. 387-394.10.1016/S0165-0114(00)00057-9Search in Google Scholar

15. Lee, H. S., M. T. Chou. Fuzzy Forecasting Based on Fuzzy Time Series. – International Journal of Computer Mathematics, Vol. 81, 2014, No 7, pp. 781-789.10.1080/00207160410001712288Search in Google Scholar

16. Ye, F., L. Zhang, D. Zhang, H. Fujita, Z. Gong. A Novel Forecasting Method Based on Multi-Order Fuzzy Time Series and Technical Analysis. – Information Sciences, Vol. 367, 2006, No C, pp. 41-57.10.1016/j.ins.2016.05.038Search in Google Scholar

17. Hwang, J. R., S. M. Chen, C. H. Lee. Handling Forecasting Problems Using Fuzzy Time Series. – Fuzzy Sets and Systems, Vol. 100, 1998, No 1-3, pp. 217-228.10.1016/S0165-0114(97)00121-8Search in Google Scholar

18. Cruz-Vega, I., C. A. R. García, P. G. Gil, J. M. R. Cortés, J. de J. R. Magdaleno. Genetic Algorithms Based on a Granular Surrogate Model and Fuzzy Aptitude Functions. – In: 2016 IEEE Congress on Evolutionary Computation (CEC’16), 2016, pp. 2122-2128.10.1109/CEC.2016.7744050Search in Google Scholar

19. Eǧrioǧlu, E. A New Time-Invariant Fuzzy Time Series Forecasting Method Based on Genetic Algorithm. – Advances in Fuzzy Systems, Vol. 2012, 2012, p. 2.Search in Google Scholar

20. Hsu, L. Y., S. J. Horng, T. W. Kao, Y. H. Chen, R. S. Run, R. J. Chen, J. L. Lai, I. H. Kuo. Temperature Prediction and TAIFEX Forecasting Based on Fuzzy Relationships and MTPSO Techniques. – Expert Systems with Applications, Vol. 37, 2010, No 4, pp. 2756-2770.10.1016/j.eswa.2009.09.015Search in Google Scholar

21. Mahnam, M., S. Ghomi. A Particle Swarm Optimization Algorithm for Forecasting Based on Time Variant Fuzzy Time Series. – International Journal of Industrial Engineering & Production Research, Vol. 23, 2012, No 4, pp. 269-276.Search in Google Scholar

22. Angelova, V. Investigations in the Ares 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

23. Ilieva, G. A Fuzzy Approach for Bidding Strategy Selection. – Cybernetics and Information Technologies, Vol. 12, 2012, No 1, pp. 61-69.10.2478/cait-2012-0005Search in Google Scholar

24. 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-2016-0020Search in Google Scholar

25. Ilieva, G. Group Decision Analysis with Interval Type-2 Fuzzy Numbers. – Cybernetics and Information Technologies, Vol. 17, 2017, No 1, pp. 31-44.10.1515/cait-2017-0003Search in Google Scholar

26. Kherabadi, H. A., S. E. Mood, M. M. Javidi. Mutation: A New Operator in Gravitational Search Algorithm Using Fuzzy Controller. – Cybernetics and Information Technologies, Vol. 17, 2017, No 1, pp. 72-86.10.1515/cait-2017-0006Search in Google Scholar

27. Wang, L. X., J. M. Mendel. Generating Fuzzy Rules by Learning from Examples. – IEEE Transactions on Systems, Man, and Cybernetics, Vol. 22, 1992, No 6, pp. 1414-1427.10.1109/21.199466Open DOISearch in Google Scholar

28. Chen, S. M. Forecasting Enrollments Based on Fuzzy Time Series. – Fuzzy Sets and Systems, Vol. 81, 1996, No 3, pp. 311-319.10.1016/0165-0114(95)00220-0Open DOISearch in Google Scholar

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Language:
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Computer Sciences, Information Technology