High-order fuzzy-neuro expert system for time series forecasting

Knowledge-Based Systems

Volumn 46, Issue , 2013, Pages 12-21

  Singh, Pritpal ^a   Borah, Bhogeswar ^a  

^a TEZPUR UNIVERSITY   (India)

Author keywords

Artificial neural network; Fuzzy logical relation; Fuzzy time series; High order; Interval; Stock exchange; Temperature

Indexed keywords

FUZZY LOGICAL RELATIONS; FUZZY TIME SERIES; HIGH-ORDER; INTERVAL; STOCK EXCHANGE;

EXPERT SYSTEMS; FORECASTING; NEURAL NETWORKS; TEMPERATURE;

TIME SERIES;

EID: 84877575594     PISSN: 09507051     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.knosys.2013.01.030     Document Type: Article

References (56)

1. Q. Song, and B.S. Chissom Forecasting enrollments with fuzzy time series-part I Fuzzy Sets and Systems 54 1993 1 9
2. Q. Song, and B.S. Chissom Forecasting enrollments with fuzzy time series-part II Fuzzy Sets and Systems 62 1994 1 8
3. S.M. Chen Forecasting enrollments based on fuzzy time series Fuzzy Sets and Systems 81 1996 311 319
4. J.R. Hwang, S.M. Chen, and C.H. Lee Handling forecasting problems using fuzzy time series Fuzzy Sets and Systems 100 1998 217 228
5. K. Huarng Heuristic models of fuzzy time series for forecasting Fuzzy Sets and Systems 123 2001 369 386
6. K. Huarng Effective lengths of intervals to improve forecasting in fuzzy time series Fuzzy Sets and Systems 123 2001 387 394
7. Q. Song, and B.S. Chissom Fuzzy time series and its models Fuzzy Sets and Systems 54 1993 1 9
8. C. Cheng, J. Chang, and C. Yeh Entropy-based and trapezoid fuzzification-based fuzzy time series approaches for forecasting IT project cost Technological Forecasting and Social Change 73 2006 524 542
9. C.-C. Tsai, and S.-J. Wu Forecasting enrolments with high-order fuzzy time series 19th International Conference of the North American 2000 Fuzzy Information Processing Society Atlanta, GA 196 200
10. S.-M. Chen Forecasting enrollments based on high-order fuzzy time series Cybernetics and Systems 33 2002 1 16
11. S.-M. Chen, and N.-Y. Chung Forecasting enrollments using high-order fuzzy time series and genetic algorithms International Journal of Intelligent Systems 21 2006 485 501
12. T.-L. Chen, C.-H. Cheng, and H.-J. Teoh High-order fuzzy time-series based on multi-period adaptation model for forecasting stock markets Physica A: Statistical Mechanics and its Applications 387 2008 876 888
13. S.-M. Chen, and C.-D. Chen Handling forecasting problems based on high-order fuzzy logical relationships Expert Systems with Applications 38 2011 3857 3864
14. S.-M. Chen, and K. Tanuwijaya Fuzzy forecasting based on high-order fuzzy logical relationships and automatic clustering techniques Expert Systems with Applications 38 2011 15425 15437
15. S.M. Chen, and J.R. Hwang Temperature prediction using fuzzy time series IEEE Transactions on Systems, Man and Cybernetics 30 2000 263 275
16. K.-H. Huarng, T.H.-K. Yu, and Y.W. Hsu A multivariate heuristic model for fuzzy time-series forecasting IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics 37 2007 836 846
17. M. Sah, K. Degtiarev, Forecasting enrollment model based on first-order fuzzy time series, in: Proceedings of World Academy of Sciences, Engineering and Technology, 2005, vol. 1, pp. 375-378.
18. H.S. Lee, and M.T. Chou Fuzzy forecasting based on fuzzy time series International Journal of Computer Mathematics 81 2004 781 789
19. H.-K. Yu Weighted fuzzy time series models for TAIEX forecasting Physica A: Statistical Mechanics and its Applications 349 2005 609 624
20. J. Chang, Y. Lee, S. Liao, C. Cheng, Cardinality-based fuzzy time series for forecasting enrollments, in: New Trends in Applied Artificial Intelligence, Japan, vol. 4570, 2007, pp. 735-744.
21. T.-L. Chen, C.-H. Cheng, and H.J. Teoh Fuzzy time-series based on Fibonacci sequence for stock price forecasting Physica A: Statistical Mechanics and its Applications 380 2007 377 390
22. C.H. Cheng, G.W. Cheng, and J.W. Wang Multi-attribute fuzzy time series method based on fuzzy clustering Expert Systems with Applications 34 2008 1235 1242
23. C. Kai, F.F. Ping, C.W. Gang, A novel forecasting model of fuzzy time series based on k-means clustering, in: 2010 Second International Workshop on Education Technology and Computer Science, China, pp. 223-225.
24. H.-L. Chou, J.-S. Chen, C.-H. Cheng, and H. Teoh Forecasting tourism demand based on improved fuzzy time series model N. Nguyen, M. Le, J. Swiatek, Intelligent Information and Database Systems vol. 5990 2010 Springer Berlin/Heidelberg 399 407
25. P. Singh, and B. Borah An efficient method for forecasting using fuzzy time series U. Sharma, B. Nath, D.K. Bhattacharya, Machine Intelligence 2011 Tezpur University Assam, Narosa, India 67 75
26. S.R. Singh A computational method of forecasting based on high-order fuzzy time series Expert Systems with Applications 36 2009 10551 10559
27. H.-T. Liu, and M.-L. Wei An improved fuzzy forecasting method for seasonal time series Expert Systems with Applications 37 2010 6310 6318
28. Q. Wangren, L. Xiaodong, and L. Hailin A generalized method for forecasting based on fuzzy time series Expert Systems with Applications 38 2011 10446 10453
29. M. Shah Fuzzy based trend mapping and forecasting for time series data Expert Systems with Applications 39 2012 6351 6358
30. E. Hadavandi, H. Shavandi, and A. Ghanbari Integration of genetic fuzzy systems and artificial neural networks for stock price forecasting Knowledge-Based Systems 23 2010 800 808
31. C.-H. Cheng, T.-L. Chen, and L.-Y. Wei A hybrid model based on rough sets theory and genetic algorithms for stock price forecasting Information Sciences 180 2010 1610 1629
32. I.-H. Kuo, S.-J. Horng, T.-W. Kao, T.-L. Lin, C.-L. Lee, and Y. Pan An improved method for forecasting enrollments based on fuzzy time series and particle swarm optimization Expert Systems with Applications 36 2010 6108 6117
33. C. Aladag, M. Basaran, E. Egrioglu, U. Yolcu, and V. Uslu Forecasting in high order fuzzy times series by using neural networks to define fuzzy relations Expert Systems with Applications 36 2009 4228 4231
34. H. Teoh, C. Cheng, H. Chu, and J. Chen Fuzzy time series model based on probabilistic approach and rough set rule induction for empirical research in stock markets Data and Knowledge Engineering 67 2008 103 117
35. S.K. Pal, and P. Mitra Case generation using rough sets with fuzzy representation IEEE Transactions on Knowledge and Data Engineering 16 2004 292 300
36. L. Yang, C.W. Dawson, M.R. Brown, and M. Gell Neural network and ga approaches for dwelling fire occurrence prediction Knowledge-Based Systems 19 2006 213 219
37. A. Keles, M. Kolcak, and A. Keles The adaptive neuro-fuzzy model for forecasting the domestic debt Knowledge-Based Systems 21 2008 951 957
38. P.-C. Chang, C.-H. Liu, and C.-Y. Fan Data clustering and fuzzy neural network for sales forecasting: a case study in printed circuit board industry Knowledge-Based Systems 22 2009 344 355
39. K. Huarng, and T.H.-K. Yu The application of neural networks to forecast fuzzy time series Physica A: Statistical Mechanics and its Applications 363 2006 481 491
40. T.H.-K. Yu, and K.-H. Huarng A bivariate fuzzy time series model to forecast the TAIEX Expert Systems with Applications 34 2008 2945 2952
41. I.-H. Kuo, S.-J. Horng, T.-W. Kao, T.-L. Lin, C.-L. Lee, and Y. Pan An improved method for forecasting enrollments based on fuzzy time series and particle swarm optimization Expert Systems with Applications 36 2009 6108 6117
42. Y.-L. Huang, S.-J. Horng, M. He, P. Fan, T.-W. Kao, M.K. Khan, J.-L. Lai, and I.-H. Kuo A hybrid forecasting model for enrollments based on aggregated fuzzy time series and particle swarm optimization Expert Systems with Applications 38 2011 8014 8023
43. L.A. Zadeh Fuzzy sets Information and Control 8 1965 338 353
44. L.A. Zadeh The concept of a linguistic variable and its application to approximate reasoning-1 Information Sciences 8 1975 199 249
45. L.A. Zadeh Outline of a new approach to the analysis of complex system and decision process IEEE Transactions on System, Man and Cybernetics 3 1973 28 44
46. L.A. Zadeh Similarity relations and fuzzy orderings Information Sciences 3 1971 177 200
47. S. Kumar Neural Networks: A Classroom Approach 2004 Tata McGraw-Hill Education Pvt. Ltd. New Delhi
48. P.R. Lippmann Pattern classification using neural networks IEEE Communications Magazine 11 1989 47 54
49. A.E. Bryson, and Y.C. Ho Applied Optimal Control: Optimization, Estimation, and Control 1969 Blaisdell Publishing Company or Xerox College Publishing
50. E.D. Rumelhart, E.G. Hinton, and J.R. Williams Learning representations by back-propagating errors Nature 323 1986 533 536
51. S.N. Sivanandam, and S.N. Deepa Principles of Soft Computing 2007 Wiley India (P) Ltd. New Delhi
52. I. Wilson, S. Paris, J. Ware, and D. Jenkins Residential property price time series forecasting with neural networks Knowledge-Based Systems 15 2002 335 341
53. H. Sturges The choice of a class-interval Journal of the American Statistical Association 21 1926 65 66
54. J. Han, and M. Kamber Data Mining: Concepts and Techniques first ed. 2001 Morgan Kaufmann Publishers USA
55. H. Theil Applied Economic Forecasting 1966 Rand McNally New York
56. Y. Finance, Daily Stock Exchange Price List of BSE, 2012. < http://in.finance.yahoo.com/ >.