• Pritpal SinghEmail author
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 330)


As the application of information technology is growing very rapidly, data in various formats have also proliferated over the time.


Time Series Data Soft Computing Research Problem Neural Network Architecture Time Series Forecast 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. Chen SM (1996) Forecasting enrollments based on fuzzy time series. Fuzzy Sets Syst 81:311–319CrossRefGoogle Scholar
  2. Cheng C, Chang J, Yeh C (2006) Entropy-based and trapezoid fuzzification-based fuzzy time series approaches for forecasting IT project cost. Technol Forecast Social Change 73:524–542CrossRefGoogle Scholar
  3. Egrioglu E, Aladag CH, Yolcu U, Uslu V, Erilli N (2011) Fuzzy time series forecasting method based on Gustafson-Kessel fuzzy clustering. Expert Syst Appl 38(8):10355–10357Google Scholar
  4. Gadgil S, Srinivasan J, Nanjundiah RS, Kumar KK, Munot AA, Kumar KR (2002) On forecasting the Indian summer monsoon: the intriguing season of 2002. Curr Sci 83(4):394–403Google Scholar
  5. Gadgil S, Rajeevan M, Nanjundiah R (2005) Monsoon prediction-why yet another failure? Curr Sci 88(9):1389–1400Google Scholar
  6. Gooijer JGD, Hyndman RJ (2006) 25 years of time series forecasting. Int J Forecast 22(3):443–473CrossRefGoogle Scholar
  7. Huang YL, Horng SJ, He M, Fan P, Kao TW, Khan MK, Lai JL, Kuo IH (2011) A hybrid forecasting model for enrollments based on aggregated fuzzy time series and particle swarm optimization. Expert Syst Appl 38(7):8014–8023CrossRefGoogle Scholar
  8. Huarng K (2001a) Effective lengths of intervals to improve forecasting in fuzzy time series. Fuzzy Sets Syst 123:387–394MathSciNetCrossRefzbMATHGoogle Scholar
  9. Huarng K (2001b) Heuristic models of fuzzy time series for forecasting. Fuzzy Sets Syst 123:369–386MathSciNetCrossRefzbMATHGoogle Scholar
  10. Huarng K, Yu THK (2006) Ratio-based lengths of intervals to improve fuzzy time series forecasting. IEEE Trans Syst Man Cybern Part B Cybern 36(2):328–340CrossRefGoogle Scholar
  11. Huarng KH, Yu THK, Hsu YW (2007) A multivariate heuristic model for fuzzy time-series forecasting. IEEE Trans Syst Man Cybern Part B: Cybern 37:836–846CrossRefGoogle Scholar
  12. Hwang JR, Chen SM, Lee CH (1998) Handling forecasting problems using fuzzy time series. Fuzzy Sets Syst 100:217–228CrossRefGoogle Scholar
  13. Kuo IH, Horng SJ, Kao TW, Lin TL, Lee CL, Pan Y (2009) An improved method for forecasting enrollments based on fuzzy time series and particle swarm optimization. Expert Syst Appl 36(3, Part 2):6108–6117Google Scholar
  14. Kuo IH, Horng SJ, Chen YH, Run RS, Kao TW, Chen RJ, Lai JL, Lin TL (2010) Forecasting TAIFEX based on fuzzy time series and particle swarm optimization. Expert Syst Appl 37(2):1494–1502CrossRefGoogle Scholar
  15. Li ST, Chen YP (2004) Natural partitioning-based forecasting model for fuzzy time-series. IEEE Int Conf Fuzzy Syst 3:1355–1359Google Scholar
  16. Mahnam M, Ghomi SMTF (2012) A particle swarm optimization algorithm for forecasting based on time variant fuzzy time series. Int J Ind Eng Prod Res 23(4):269–276Google Scholar
  17. Park J, Lee DJ, Song CK, Chun MG (2010) TAIFEX and KOSPI 200 forecasting based on two-factors high-order fuzzy time series and particle swarm optimization. Expert Syst Appl 37(2):959–967Google Scholar
  18. Preethi B, Revadekar JV, Kripalani RH (2011) Anomalous behaviour of the indian summer monsoon 2009. J Earth Syst Sci 120(5):783–794CrossRefGoogle Scholar
  19. Sheikhan M, Mohammadi N (2012) Time series prediction using PSO-optimized neural network and hybrid feature selection algorithm for IEEE load data. Neural Comput ApplGoogle Scholar
  20. Singh P, Borah B (2012) An effective neural network and fuzzy time series-based hybridized model to handle forecasting problems of two factors. Knowl Inf Syst 38(3):669–690CrossRefGoogle Scholar
  21. Singh P, Borah B (2013a) An efficient time series forecasting model based on fuzzy time series. Eng Appl Artif Intell 26:2443–2457CrossRefGoogle Scholar
  22. Singh P, Borah B (2013b) Forecasting stock index price based on M-factors fuzzy time series and particle swarm optimization. Int J Approx ReasonGoogle Scholar
  23. Singh P, Borah B (2013c) High-order fuzzy-neuro expert system for daily temperature forecasting. Knowl-Based Syst 46:12–21CrossRefGoogle Scholar
  24. Singh P, Borah B (2013d) Indian summer monsoon rainfall prediction using artificial neural network. Stoch Environ Res Risk Assess 27(7):1585–1599CrossRefGoogle Scholar
  25. Song Q, Chissom BS (1993a) Forecasting enrollments with fuzzy time series—Part I. Fuzzy Sets Syst 54(1):1–9CrossRefGoogle Scholar
  26. Song Q, Chissom BS (1993b) Fuzzy time series and its models. Fuzzy Sets Syst 54(1):1–9MathSciNetCrossRefzbMATHGoogle Scholar
  27. Song Q, Chissom BS (1994) Forecasting enrollments with fuzzy time series - Part II. Fuzzy Sets Syst 62(1):1–8CrossRefGoogle Scholar
  28. Swaminathan MS (1998) Padma Bhusan Prof. P. Koteswaram First memorial lecture-23rd March 1998. In: Climate and sustainable food security, vol 28, Vayu Mandal, pp 3–10Google Scholar
  29. Yu HK (2005) Weighted fuzzy time series models for TAIEX forecasting. Phys A: Stat Mech Appl 349(3–4):609–624CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Department of Computer Science and EngineeringThapar UniversityPatialaIndia

Personalised recommendations