메뉴 건너뛰기




Volumn 34, Issue 4, 2008, Pages 2732-2738

Constructing and applying an improved fuzzy time series model: Taking the tourism industry for example

Author keywords

Forecasting; Fuzzy time series; Heuristic

Indexed keywords

HEURISTIC ALGORITHMS; MATHEMATICAL MODELS; MEAN SQUARE ERROR; TECHNOLOGICAL FORECASTING; TIME SERIES ANALYSIS;

EID: 38649131929     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2007.05.042     Document Type: Article
Times cited : (55)

References (17)
  • 1
    • 0001073047 scopus 로고    scopus 로고
    • Forecasting enrollments based on fuzzy time series
    • Chen S.M. Forecasting enrollments based on fuzzy time series. Fuzzy Sets and Systems 81 (1996) 311-319
    • (1996) Fuzzy Sets and Systems , vol.81 , pp. 311-319
    • Chen, S.M.1
  • 2
    • 0036098015 scopus 로고    scopus 로고
    • Forecasting enrollments based on high-order fuzzy time series
    • Chen S.M. Forecasting enrollments based on high-order fuzzy time series. Cybernetics and Systems 33 (2002) 1-16
    • (2002) Cybernetics and Systems , vol.33 , pp. 1-16
    • Chen, S.M.1
  • 4
    • 0036783651 scopus 로고    scopus 로고
    • Modeling and forecasting tourism demand for arrivals with stochastic nonstationary seasonality and intervention
    • Goh C., and Law R. Modeling and forecasting tourism demand for arrivals with stochastic nonstationary seasonality and intervention. Tourism Management 23 5 (2002) 499-510
    • (2002) Tourism Management , vol.23 , Issue.5 , pp. 499-510
    • Goh, C.1    Law, R.2
  • 5
    • 0035502048 scopus 로고    scopus 로고
    • Heuristic models of fuzzy time series for forecasting
    • Huarng K.H. Heuristic models of fuzzy time series for forecasting. Fuzzy Sets and Systems 123 (2001) 369-386
    • (2001) Fuzzy Sets and Systems , vol.123 , pp. 369-386
    • Huarng, K.H.1
  • 6
    • 0032202643 scopus 로고    scopus 로고
    • Handling forecasting problems using fuzzy time series
    • Hwang J., Chen S.M., and Lee C.H. Handling forecasting problems using fuzzy time series. Fuzzy sets and Systems 100 (1998) 217-228
    • (1998) Fuzzy sets and Systems , vol.100 , pp. 217-228
    • Hwang, J.1    Chen, S.M.2    Lee, C.H.3
  • 7
    • 0034057701 scopus 로고    scopus 로고
    • Back-propagation learning in improving the accuracy of neural network-based tourism demand forecasting
    • Law R. Back-propagation learning in improving the accuracy of neural network-based tourism demand forecasting. Tourism Management 21 (2000) 331-340
    • (2000) Tourism Management , vol.21 , pp. 331-340
    • Law, R.1
  • 8
    • 0032997601 scopus 로고    scopus 로고
    • A neural network model to forecast Japanese demand for travel to Hong Kong
    • Law R., and Au N. A neural network model to forecast Japanese demand for travel to Hong Kong. Tourism Management 20 (1999) 89-97
    • (1999) Tourism Management , vol.20 , pp. 89-97
    • Law, R.1    Au, N.2
  • 10
    • 33847636706 scopus 로고    scopus 로고
    • Temperature prediction and TAIFEX forecasting based on fuzzy logical relationships and genetic algorithms
    • Lee L.W., Wang L.H., and Chen S.M. Temperature prediction and TAIFEX forecasting based on fuzzy logical relationships and genetic algorithms. Expert Systems with Applications 33 (2007)
    • (2007) Expert Systems with Applications , vol.33
    • Lee, L.W.1    Wang, L.H.2    Chen, S.M.3
  • 11
    • 34248566920 scopus 로고    scopus 로고
    • Temperature prediction and TAIFEX forecasting based on higher fuzzy logical relationships and genetic simulated annealing techniques
    • Lee L.W., Wang L.H., and Chen S.M. Temperature prediction and TAIFEX forecasting based on higher fuzzy logical relationships and genetic simulated annealing techniques. Expert Systems with Applications 34 (2007)
    • (2007) Expert Systems with Applications , vol.34
    • Lee, L.W.1    Wang, L.H.2    Chen, S.M.3
  • 12
    • 33745177648 scopus 로고    scopus 로고
    • Handling forecasting problems based on two-factors high-order fuzzy time series
    • Lee L.W., Wang L.H., Chen S.M., and Leu Y.H. Handling forecasting problems based on two-factors high-order fuzzy time series. IEEE Transactions on Fuzzy Systems 14 3 (2006) 468-477
    • (2006) IEEE Transactions on Fuzzy Systems , vol.14 , Issue.3 , pp. 468-477
    • Lee, L.W.1    Wang, L.H.2    Chen, S.M.3    Leu, Y.H.4
  • 13
    • 0036079138 scopus 로고    scopus 로고
    • Time series forecasts of international travel demand for Australia
    • Lim C., and McAleer M. Time series forecasts of international travel demand for Australia. Tourism Management 23 4 (2002) 389-396
    • (2002) Tourism Management , vol.23 , Issue.4 , pp. 389-396
    • Lim, C.1    McAleer, M.2
  • 14
    • 38149147511 scopus 로고
    • Forecasting enrollments with fuzzy time series - Part I
    • Song Q., and Chissom B.S. Forecasting enrollments with fuzzy time series - Part I. Fuzzy Sets and Systems 54 (1993) 1-9
    • (1993) Fuzzy Sets and Systems , vol.54 , pp. 1-9
    • Song, Q.1    Chissom, B.S.2
  • 15
    • 0000173897 scopus 로고
    • Forecasting enrollments with fuzzy time series
    • Song Q., and Chissom B.S. Forecasting enrollments with fuzzy time series. Fuzzy Sets and Systems 54 (1993) 269-277
    • (1993) Fuzzy Sets and Systems , vol.54 , pp. 269-277
    • Song, Q.1    Chissom, B.S.2
  • 16
    • 0037844368 scopus 로고    scopus 로고
    • Fuzzy time series approach for disruption prediction in Tokamak reactors
    • Versaci M., and Morabito F.C. Fuzzy time series approach for disruption prediction in Tokamak reactors. IEEE Transactions on Magnetics 39 3 (2003) 1503-1506
    • (2003) IEEE Transactions on Magnetics , vol.39 , Issue.3 , pp. 1503-1506
    • Versaci, M.1    Morabito, F.C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.