메뉴 건너뛰기




Volumn 37, Issue 2, 2010, Pages 959-967

TAIFEX and KOSPI 200 forecasting based on two-factors high-order fuzzy time series and particle swarm optimization

Author keywords

Fuzzy time series; KOSPI 200; Particle swarm optimization; TAIFEX; Two factors high order fuzzy logical relationships

Indexed keywords

COMPOSITE PRICE; FORECASTING ACCURACY; FORECASTING METHODS; FUZZY LOGICAL RELATIONSHIPS; FUZZY TIME SERIES; HIGH-ORDER; REAL APPLICATIONS; TWO-FACTORS HIGH-ORDER FUZZY TIME SERIES; UNIVERSE OF DISCOURSE;

EID: 72049122380     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2009.05.081     Document Type: Article
Times cited : (84)

References (23)
  • 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 3 (1996) 311-319
    • (1996) Fuzzy Sets and Systems , vol.81 , Issue.3 , 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 1 (2002) 1-16
    • (2002) Cybernetics and Systems , vol.33 , Issue.1 , pp. 1-16
    • Chen, S.M.1
  • 3
    • 22344432656 scopus 로고    scopus 로고
    • Comparison among five evolutionary-based optimization algorithm
    • Emad E., Tarek H., and Donald G. Comparison among five evolutionary-based optimization algorithm. Advanced Engineering Informatics 19 (2005) 43-53
    • (2005) Advanced Engineering Informatics , vol.19 , pp. 43-53
    • Emad, E.1    Tarek, H.2    Donald, G.3
  • 4
    • 2942539776 scopus 로고    scopus 로고
    • A particle swarm optimization approach for optimum design of PID controller in AVR system
    • Gaing Z.L. A particle swarm optimization approach for optimum design of PID controller in AVR system. IEEE Transactions on Energy Conversion 19 2 (2004) 384-391
    • (2004) IEEE Transactions on Energy Conversion , vol.19 , Issue.2 , pp. 384-391
    • Gaing, Z.L.1
  • 7
    • 0000904077 scopus 로고
    • Messy genetic algorithms: Motivation, analysis, and first results
    • Goldberg D.E., Korb B., and Deb K. Messy genetic algorithms: Motivation, analysis, and first results. Complex Systems 3 5 (1989) 493-530
    • (1989) Complex Systems , vol.3 , Issue.5 , pp. 493-530
    • Goldberg, D.E.1    Korb, B.2    Deb, K.3
  • 9
    • 0035502063 scopus 로고    scopus 로고
    • Effective lengths of intervals to improve forecasting in fuzzy time series
    • Huarng K. Effective lengths of intervals to improve forecasting in fuzzy time series. Fuzzy Sets and Systems 123 3 (2001) 387-394
    • (2001) Fuzzy Sets and Systems , vol.123 , Issue.3 , pp. 387-394
    • Huarng, K.1
  • 10
    • 0035502048 scopus 로고    scopus 로고
    • Heuristic models of fuzzy time series for forecasting
    • Huarng K. Heuristic models of fuzzy time series for forecasting. Fuzzy Sets and Systems 123 3 (2001) 369-386
    • (2001) Fuzzy Sets and Systems , vol.123 , Issue.3 , pp. 369-386
    • Huarng, K.1
  • 12
    • 26444479778 scopus 로고
    • Optimization by simulated annealing
    • Kirkpatric S., Gelatt Jr. C.D., and Vecchi M.P. Optimization by simulated annealing. Science 220 4598 (1983) 671-880
    • (1983) Science , vol.220 , Issue.4598 , pp. 671-880
    • Kirkpatric, S.1    Gelatt Jr., C.D.2    Vecchi, M.P.3
  • 13
    • 72049123352 scopus 로고    scopus 로고
    • Lee, L. W., & Chen, S. M. (2004). Temperature prediction using genetic algorithms and fuzzy time series. In Proceedings of the 2004 international conference on information managements, Miaoli, Taiwan, Republic of China (pp. 299-306).
    • Lee, L. W., & Chen, S. M. (2004). Temperature prediction using genetic algorithms and fuzzy time series. In Proceedings of the 2004 international conference on information managements, Miaoli, Taiwan, Republic of China (pp. 299-306).
  • 14
    • 72049103786 scopus 로고    scopus 로고
    • Lee, L. W., Wang, L. H., Chen, S. M., & Leu, Y. H. (2004). A new method for handling forecasting problems based on two-factors high-order fuzzy time series. In Proceedings of the 2004 ninth conference on artificial intelligence and applications, Taipei, Taiwan, Republic of China.
    • Lee, L. W., Wang, L. H., Chen, S. M., & Leu, Y. H. (2004). A new method for handling forecasting problems based on two-factors high-order fuzzy time series. In Proceedings of the 2004 ninth conference on artificial intelligence and applications, Taipei, Taiwan, Republic of China.
  • 15
    • 34248566920 scopus 로고    scopus 로고
    • Temperature prediction and TAIFEX forecasting based on high-order 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 high-order fuzzy logical relationships and genetic simulated annealing techniques. Expert Systems with Applications 34 (2008) 328-336
    • (2008) Expert Systems with Applications , vol.34 , pp. 328-336
    • Lee, L.W.1    Wang, L.H.2    Chen, S.M.3
  • 16
    • 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
  • 18
    • 63249100935 scopus 로고    scopus 로고
    • Comparison of particle swarm optimization and genetic algorithm for FACTS-based controller design
    • Panda S., and Padhy N.P. Comparison of particle swarm optimization and genetic algorithm for FACTS-based controller design. Applied Soft Computing ASOC-417 (2007) 1-10
    • (2007) Applied Soft Computing , vol.ASOC-417 , pp. 1-10
    • Panda, S.1    Padhy, N.P.2
  • 19
    • 0000173897 scopus 로고
    • Fuzzy time series and its models
    • Song Q., and Chissom B.S. Fuzzy time series and its models. Fuzzy Sets and Systems 54 3 (1993) 269-277
    • (1993) Fuzzy Sets and Systems , vol.54 , Issue.3 , pp. 269-277
    • Song, Q.1    Chissom, B.S.2
  • 20
    • 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 1 (1993) 1-9
    • (1993) Fuzzy Sets and Systems , vol.54 , Issue.1 , pp. 1-9
    • Song, Q.1    Chissom, B.S.2
  • 21
    • 0028264654 scopus 로고
    • Some properties of defuzzification neural networks
    • Song Q., and Chissom B.S. Some properties of defuzzification neural networks. Fuzzy Sets and Systems 61 1 (1994) 83-89
    • (1994) Fuzzy Sets and Systems , vol.61 , Issue.1 , pp. 83-89
    • Song, Q.1    Chissom, B.S.2
  • 22
    • 38149146997 scopus 로고
    • Forecasting enrollments with fuzzy time series - Part II
    • Song Q., and Chissom B.S. Forecasting enrollments with fuzzy time series - Part II. Fuzzy Sets and Systems 62 1 (1994) 1-8
    • (1994) Fuzzy Sets and Systems , vol.62 , Issue.1 , pp. 1-8
    • Song, Q.1    Chissom, B.S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.