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Volumn 327, Issue , 2016, Pages 272-287

Fuzzy time series forecasting based on fuzzy logical relationships and similarity measures

Author keywords

Fuzzy logical relationships; Fuzzy time series; K means clustering algorithm; Particle swarm optimization; Similarity measures

Indexed keywords

ALGORITHMS; ELECTRONIC TRADING; FINANCIAL MARKETS; FORECASTING; FUZZY LOGIC; FUZZY SETS; PARTICLE SWARM OPTIMIZATION (PSO); TIME SERIES;

EID: 84944210856     PISSN: 00200255     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ins.2015.08.024     Document Type: Article
Times cited : (192)

References (67)
  • 1
    • 84864750553 scopus 로고    scopus 로고
    • A new time invariant fuzzy time series forecasting method based on particle swarm optimization
    • C.H. Aladag, U. Yolcu, E. Egrioglu, A.Z. Dalar A new time invariant fuzzy time series forecasting method based on particle swarm optimization Appl. Soft Comput. 12 2 2012 3291 3299
    • (2012) Appl. Soft Comput. , vol.12 , Issue.2 , pp. 3291-3299
    • Aladag, C.H.1    Yolcu, U.2    Egrioglu, E.3    Dalar, A.Z.4
  • 2
    • 78049528355 scopus 로고    scopus 로고
    • A heuristic time-invariant model for fuzzy time series forecasting
    • E. Bai, W.K. Wong, W.C. Chu, M. Xia, F. Pan A heuristic time-invariant model for fuzzy time series forecasting Expert Syst. Appl. 38 3 2011 2701 2707
    • (2011) Expert Syst. Appl. , vol.38 , Issue.3 , pp. 2701-2707
    • Bai, E.1    Wong, W.K.2    Chu, W.C.3    Xia, M.4    Pan, F.5
  • 4
    • 84895863486 scopus 로고    scopus 로고
    • A novel stock forecasting model based on fuzzy time series and genetic algorithm
    • Q. Cai, D. Zhang, B. Wu, S.C.H. Keung A novel stock forecasting model based on fuzzy time series and genetic algorithm Proc. Comput. Sci. 18 2013 1155 1162
    • (2013) Proc. Comput. Sci. , vol.18 , pp. 1155-1162
    • Cai, Q.1    Zhang, D.2    Wu, B.3    Keung, S.C.H.4
  • 5
    • 84926191810 scopus 로고    scopus 로고
    • A new fuzzy time series forecasting model combined with ant colony optimization and auto-regression
    • Q. Cai, D. Zhang, W. Zheng, S.C.H. Leung A new fuzzy time series forecasting model combined with ant colony optimization and auto-regression Knowl-Based Syst. 74 2015 61 68
    • (2015) Knowl-Based Syst. , vol.74 , pp. 61-68
    • Cai, Q.1    Zhang, D.2    Zheng, W.3    Leung, S.C.H.4
  • 7
    • 0001073047 scopus 로고    scopus 로고
    • Forecasting enrollments based on fuzzy time series
    • S.M. Chen Forecasting enrollments based on fuzzy time series Fuzzy Sets Syst. 81 3 1996 311 319
    • (1996) Fuzzy Sets Syst. , vol.81 , Issue.3 , pp. 311-319
    • Chen, S.M.1
  • 8
    • 0036098015 scopus 로고    scopus 로고
    • Forecasting enrollments based on high-order fuzzy time series
    • S.M. Chen Forecasting enrollments based on high-order fuzzy time series Cybernet. Syst. 33 1 2002 1 16
    • (2002) Cybernet. Syst. , vol.33 , Issue.1 , pp. 1-16
    • Chen, S.M.1
  • 9
    • 77957661892 scopus 로고    scopus 로고
    • Multi-variable fuzzy forecasting based on fuzzy clustering and fuzzy interpolation techniques
    • S.M. Chen, Y.C. Chang Multi-variable fuzzy forecasting based on fuzzy clustering and fuzzy interpolation techniques Inf. Sci. 180 24 2010 4772 4783
    • (2010) Inf. Sci. , vol.180 , Issue.24 , pp. 4772-4783
    • Chen, S.M.1    Chang, Y.C.2
  • 10
    • 79551645335 scopus 로고    scopus 로고
    • TAIEX forecasting based on fuzzy time series and fuzzy variation groups
    • S.M. Chen, C.D. Chen TAIEX forecasting based on fuzzy time series and fuzzy variation groups IEEE Trans. Fuzzy Syst. 19 1 2011 1 12
    • (2011) IEEE Trans. Fuzzy Syst. , vol.19 , Issue.1 , pp. 1-12
    • Chen, S.M.1    Chen, C.D.2
  • 11
    • 78650701807 scopus 로고    scopus 로고
    • Handling forecasting problems based on high-order fuzzy logical relationships
    • S.M. Chen, C.D. Chen Handling forecasting problems based on high-order fuzzy logical relationships Expert Syst. Appl. 38 4 2011 3857 3864
    • (2011) Expert Syst. Appl. , vol.38 , Issue.4 , pp. 3857-3864
    • Chen, S.M.1    Chen, C.D.2
  • 12
    • 85027921885 scopus 로고    scopus 로고
    • Fuzzy forecasting based on two-factors second-order fuzzy-trend logical relationship groups and the probabilities of trends of fuzzy logical relationships
    • S.M. Chen, S.W. Chen Fuzzy forecasting based on two-factors second-order fuzzy-trend logical relationship groups and the probabilities of trends of fuzzy logical relationships IEEE Trans. Cybernet. 45 3 2015 405 417
    • (2015) IEEE Trans. Cybernet. , vol.45 , Issue.3 , pp. 405-417
    • Chen, S.M.1    Chen, S.W.2
  • 13
    • 84867840221 scopus 로고    scopus 로고
    • TAIEX forecasting using fuzzy time series and automatically generated weights of multiple factors
    • S.M. Chen, H.P. Chu, T.W. Sheu TAIEX forecasting using fuzzy time series and automatically generated weights of multiple factors IEEE Trans. Syst. Man, and Cybernet.-Part A: Syst. Humans 42 6 2012 1485 1495
    • (2012) IEEE Trans. Syst. Man, and Cybernet.-Part A: Syst. Humans , vol.42 , Issue.6 , pp. 1485-1495
    • Chen, S.M.1    Chu, H.P.2    Sheu, T.W.3
  • 14
    • 33646345377 scopus 로고    scopus 로고
    • Forecasting enrollments using high-order fuzzy time series and genetic algorithm
    • S.M. Chen, N.Y. Chung Forecasting enrollments using high-order fuzzy time series and genetic algorithm Int. J. Intell. Syst. 21 5 2006 485 501
    • (2006) Int. J. Intell. Syst. , vol.21 , Issue.5 , pp. 485-501
    • Chen, S.M.1    Chung, N.Y.2
  • 15
    • 33645690595 scopus 로고    scopus 로고
    • A new method to forecast enrollments using fuzzy time series
    • S.M. Chen, C.C. Hsu A new method to forecast enrollments using fuzzy time series Int. J. Appl. Sci. Eng. 2 4 2004 234 244
    • (2004) Int. J. Appl. Sci. Eng. , vol.2 , Issue.4 , pp. 234-244
    • Chen, S.M.1    Hsu, C.C.2
  • 17
    • 84890427180 scopus 로고    scopus 로고
    • Fuzzy forecasting based on two-factors second-order fuzzy-trend logical relationship groups and particle swarm optimization techniques
    • S.M. Chen, G.M.T. Manalu, J.S. Pan, H.C. Liu Fuzzy forecasting based on two-factors second-order fuzzy-trend logical relationship groups and particle swarm optimization techniques IEEE Trans. Cybernet. 43 3 2013 1102 1117
    • (2013) IEEE Trans. Cybernet. , vol.43 , Issue.3 , pp. 1102-1117
    • Chen, S.M.1    Manalu, G.M.T.2    Pan, J.S.3    Liu, H.C.4
  • 18
    • 80052034553 scopus 로고    scopus 로고
    • Fuzzy forecasting based on high-order fuzzy logical relationships and automatic clustering techniques
    • S.M. Chen, K. Tanuwijaya Fuzzy forecasting based on high-order fuzzy logical relationships and automatic clustering techniques Expert Syst. Appl. 38 12 2011 15425 15437
    • (2011) Expert Syst. Appl. , vol.38 , Issue.12 , pp. 15425-15437
    • Chen, S.M.1    Tanuwijaya, K.2
  • 19
  • 20
    • 67349286437 scopus 로고    scopus 로고
    • Forecasting enrollments using automatic clustering techniques and fuzzy logical relationships
    • S.M. Chen, N.Y. Wang, J.S. Pan Forecasting enrollments using automatic clustering techniques and fuzzy logical relationships Expert Syst. Appl. 36 8 2009 11070 11076
    • (2009) Expert Syst. Appl. , vol.36 , Issue.8 , pp. 11070-11076
    • Chen, S.M.1    Wang, N.Y.2    Pan, J.S.3
  • 21
    • 33646038239 scopus 로고    scopus 로고
    • Entropy-based and trapezoid fuzzification-based fuzzy time series approaches for forecasting IT project cost
    • C.H. Cheng, J.R. Chang, C.A. Yeh Entropy-based and trapezoid fuzzification-based fuzzy time series approaches for forecasting IT project cost Technol. Forecast. Soc. Change 73 5 2006 524 542
    • (2006) Technol. Forecast. Soc. Change , vol.73 , Issue.5 , pp. 524-542
    • Cheng, C.H.1    Chang, J.R.2    Yeh, C.A.3
  • 22
    • 36148952573 scopus 로고    scopus 로고
    • Multi-attribute fuzzy time series method based on fuzzy clustering
    • C.H. Cheng, G.W. Cheng, J.W. Wang Multi-attribute fuzzy time series method based on fuzzy clustering Expert Syst. Appl. 34 2 2008 1235 1242
    • (2008) Expert Syst. Appl. , vol.34 , Issue.2 , pp. 1235-1242
    • Cheng, C.H.1    Cheng, G.W.2    Wang, J.W.3
  • 23
  • 24
    • 84866144636 scopus 로고    scopus 로고
    • Experimental study on boundary constraints handling in particle swarm optimization: From population diversity perspective
    • S. Cheng, Y. Shi, Q. Qin Experimental study on boundary constraints handling in particle swarm optimization: from population diversity perspective Int. J. Swarm Intell. Res. 2 3 2011 43 69
    • (2011) Int. J. Swarm Intell. Res. , vol.2 , Issue.3 , pp. 43-69
    • Cheng, S.1    Shi, Y.2    Qin, Q.3
  • 26
    • 84859717982 scopus 로고    scopus 로고
    • Fuzzy time series forecasting with a probabilistic smoothing hidden Markov model
    • Y.C. Cheng, S.T. Li Fuzzy time series forecasting with a probabilistic smoothing hidden Markov model IEEE Trans. Fuzzy Syst. 20 2 2012 291 304
    • (2012) IEEE Trans. Fuzzy Syst. , vol.20 , Issue.2 , pp. 291-304
    • Cheng, Y.C.1    Li, S.T.2
  • 27
  • 28
    • 84867844623 scopus 로고    scopus 로고
    • Fuzzy time series forecasting with a novel hybrid approach combining fuzzy c-means and neural networks
    • E. Egrioglu, C.H. Aladag, U. Yolcu Fuzzy time series forecasting with a novel hybrid approach combining fuzzy c-means and neural networks Expert Syst. Appl. 40 3 2013 854 857
    • (2013) Expert Syst. Appl. , vol.40 , Issue.3 , pp. 854-857
    • Egrioglu, E.1    Aladag, C.H.2    Yolcu, U.3
  • 29
    • 79953721648 scopus 로고    scopus 로고
    • Fuzzy time series forecasting method based on Gustafson-Kessel fuzzy clustering
    • E. Egrioglu, C.H. Aladag, U. Yolcu, V.R. Uslu, N.A. Erilli Fuzzy time series forecasting method based on Gustafson-Kessel fuzzy clustering Expert Syst. Appl. 38 8 2011 10355 10357
    • (2011) Expert Syst. Appl. , vol.38 , Issue.8 , pp. 10355-10357
    • Egrioglu, E.1    Aladag, C.H.2    Yolcu, U.3    Uslu, V.R.4    Erilli, N.A.5
  • 30
    • 84863084068 scopus 로고    scopus 로고
    • Partitions based on computational method for high-order fuzzy time series forecasting
    • S.S. Gangwar, S. Kumar Partitions based on computational method for high-order fuzzy time series forecasting Expert Syst. Appl. 39 15 2012 12158 12164
    • (2012) Expert Syst. Appl. , vol.39 , Issue.15 , pp. 12158-12164
    • Gangwar, S.S.1    Kumar, S.2
  • 32
    • 0035502048 scopus 로고    scopus 로고
    • Heuristic models of fuzzy time series for forecasting
    • K. Huarng Heuristic models of fuzzy time series for forecasting Fuzzy Sets Syst. 123 3 2001 369 386
    • (2001) Fuzzy Sets Syst. , vol.123 , Issue.3 , pp. 369-386
    • Huarng, K.1
  • 33
    • 0035502063 scopus 로고    scopus 로고
    • Effective lengths of intervals to improve forecasting in fuzzy time series
    • K. Huarng Effective lengths of intervals to improve forecasting in fuzzy time series Fuzzy Sets Syst. 123 3 2001 387 394
    • (2001) Fuzzy Sets Syst. , vol.123 , Issue.3 , pp. 387-394
    • Huarng, K.1
  • 34
    • 33644868985 scopus 로고    scopus 로고
    • The application of neural networks to forecast fuzzy time series
    • K. Huarng, T.H.K. Yu The application of neural networks to forecast fuzzy time series Phys. A: Stat. Mech. Appl. 363 2 2006 481 491
    • (2006) Phys. A: Stat. Mech. Appl. , vol.363 , Issue.2 , pp. 481-491
    • Huarng, K.1    Yu, T.H.K.2
  • 37
    • 0032202643 scopus 로고    scopus 로고
    • Handling forecasting problems using fuzzy time series
    • J.R. Hwang, S.M. Chen, C.H. Lee Handling forecasting problems using fuzzy time series Fuzzy Sets Syst. 100 1-3 1998 217 228
    • (1998) Fuzzy Sets Syst. , vol.100 , Issue.1-3 , pp. 217-228
    • Hwang, J.R.1    Chen, S.M.2    Lee, C.H.3
  • 40
    • 58349092063 scopus 로고    scopus 로고
    • An improved method for forecasting enrollments based on fuzzy time series and particle swarm optimization
    • I.H. Kuo, S.J. Horng, T.W. Kao, T.L. Lin, C.L. Lee, Y. Pan An improved method for forecasting enrollments based on fuzzy time series and particle swarm optimization Expert Syst. Appl. 36 3 2009 6108 6117
    • (2009) Expert Syst. Appl. , vol.36 , Issue.3 , pp. 6108-6117
    • Kuo, I.H.1    Horng, S.J.2    Kao, T.W.3    Lin, T.L.4    Lee, C.L.5    Pan, Y.6
  • 41
    • 28244478029 scopus 로고    scopus 로고
    • Fuzzy forecasting based on fuzzy time series
    • H.S. Lee, M.T. Chou Fuzzy forecasting based on fuzzy time series Int. J. Comput. Math. 81 7 2004 781 789
    • (2004) Int. J. Comput. Math. , vol.81 , Issue.7 , pp. 781-789
    • Lee, H.S.1    Chou, M.T.2
  • 42
    • 33745177648 scopus 로고    scopus 로고
    • Handling forecasting problems based on two-factors high-order fuzzy time series
    • L.W. Lee, L.H. Wang, S.M. Chen, Y.H. Leu Handling forecasting problems based on two-factors high-order fuzzy time series IEEE Trans. Fuzzy Syst. 14 3 2006 468 477
    • (2006) IEEE Trans. Fuzzy Syst. , vol.14 , Issue.3 , pp. 468-477
    • Lee, L.W.1    Wang, L.H.2    Chen, S.M.3    Leu, Y.H.4
  • 43
    • 60249088909 scopus 로고    scopus 로고
    • A distance-based fuzzy time series model for exchange rates forecasting
    • Y. Leu, C.P. Lee, Y.Z. Jou A distance-based fuzzy time series model for exchange rates forecasting Expert Syst. Appl. 36 4 2009 8107 8114
    • (2009) Expert Syst. Appl. , vol.36 , Issue.4 , pp. 8107-8114
    • Leu, Y.1    Lee, C.P.2    Jou, Y.Z.3
  • 44
    • 34249899686 scopus 로고    scopus 로고
    • Deterministic fuzzy time series model for forecasting enrollments
    • S.T. Li, Y.C. Cheng Deterministic fuzzy time series model for forecasting enrollments Comput. Math. Appl. 53 12 2007 1904 1920
    • (2007) Comput. Math. Appl. , vol.53 , Issue.12 , pp. 1904-1920
    • Li, S.T.1    Cheng, Y.C.2
  • 46
    • 33751539757 scopus 로고    scopus 로고
    • An improved fuzzy time series forecasting method using trapezoidal fuzzy numbers
    • H.T. Liu An improved fuzzy time series forecasting method using trapezoidal fuzzy numbers Fuzzy Optim. Decis. Making 6 1 2007 63 80
    • (2007) Fuzzy Optim. Decis. Making , vol.6 , Issue.1 , pp. 63-80
    • Liu, H.T.1
  • 48
    • 79953705629 scopus 로고    scopus 로고
    • A generalized method for forecasting based on fuzzy time series
    • W. Qiu, X. Liu, H. Li A generalized method for forecasting based on fuzzy time series Expert Syst. Appl. 38 8 2011 10446 10453
    • (2011) Expert Syst. Appl. , vol.38 , Issue.8 , pp. 10446-10453
    • Qiu, W.1    Liu, X.2    Li, H.3
  • 50
    • 84887021446 scopus 로고    scopus 로고
    • An efficient time series forecasting model based on fuzzy time series
    • P. Singh, B. Borah An efficient time series forecasting model based on fuzzy time series Eng. Appl. Artif. Intell. 26 10 2013 2443 2457
    • (2013) Eng. Appl. Artif. Intell. , vol.26 , Issue.10 , pp. 2443-2457
    • Singh, P.1    Borah, B.2
  • 51
    • 0000173897 scopus 로고
    • Fuzzy time series and its models
    • Q. Song, B.S. Chissom Fuzzy time series and its models Fuzzy Sets and Syst. 54 3 1993 269 277
    • (1993) Fuzzy Sets and Syst. , vol.54 , Issue.3 , pp. 269-277
    • Song, Q.1    Chissom, B.S.2
  • 52
    • 38149147511 scopus 로고
    • Forecasting enrollments with fuzzy time series-Part i
    • Q. Song, B.S. Chissom Forecasting enrollments with fuzzy time series-Part I Fuzzy Sets Syst. 54 1 1993 1 9
    • (1993) Fuzzy Sets Syst. , vol.54 , Issue.1 , pp. 1-9
    • Song, Q.1    Chissom, B.S.2
  • 53
    • 38149146997 scopus 로고
    • Forecasting enrollments with fuzzy time series-Part II
    • Q. Song, B.S. Chissom Forecasting enrollments with fuzzy time series-Part II Fuzzy Sets Syst. 62 1 1994 1 8
    • (1994) Fuzzy Sets Syst. , vol.62 , Issue.1 , pp. 1-8
    • Song, Q.1    Chissom, B.S.2
  • 54
    • 0028462006 scopus 로고
    • A comparison of fuzzy forecasting and Markov modeling
    • J. Sullivan, W.H. Woodall A comparison of fuzzy forecasting and Markov modeling Fuzzy Sets Syst. 64 3 1994 279 293
    • (1994) Fuzzy Sets Syst. , vol.64 , Issue.3 , pp. 279-293
    • Sullivan, J.1    Woodall, W.H.2
  • 55
    • 84894620424 scopus 로고    scopus 로고
    • A fuzzy time series approach based on weights determined by the number of recurrences of fuzzy relations
    • V.R. Uslu, E. Bas, U. Yolcu, E. Egrioglu A fuzzy time series approach based on weights determined by the number of recurrences of fuzzy relations Swarm Evol. Comput. 15 2014 19 26
    • (2014) Swarm Evol. Comput. , vol.15 , pp. 19-26
    • Uslu, V.R.1    Bas, E.2    Yolcu, U.3    Egrioglu, E.4
  • 56
    • 84878327772 scopus 로고    scopus 로고
    • Effective intervals determined by information granules to improve forecasting in fuzzy time series
    • L. Wang, X. Liu, W. Pedrycz Effective intervals determined by information granules to improve forecasting in fuzzy time series Expert Syst. Appl. 40 14 2013 5673 5679
    • (2013) Expert Syst. Appl. , vol.40 , Issue.14 , pp. 5673-5679
    • Wang, L.1    Liu, X.2    Pedrycz, W.3
  • 57
    • 56349160682 scopus 로고    scopus 로고
    • Temperature prediction and TAIFEX forecasting based on automatic clustering techniques and two-factors high-order fuzzy time series
    • N.Y. Wang, S.M. Chen Temperature prediction and TAIFEX forecasting based on automatic clustering techniques and two-factors high-order fuzzy time series Expert Syst. Appl. 36 2 2009 2143 2154
    • (2009) Expert Syst. Appl. , vol.36 , Issue.2 , pp. 2143-2154
    • Wang, N.Y.1    Chen, S.M.2
  • 58
    • 84881635943 scopus 로고    scopus 로고
    • A GA-weighted ANFIS model based on multiple stock market volatility causality for TAIEX forecasting
    • L.-Y. Wei A GA-weighted ANFIS model based on multiple stock market volatility causality for TAIEX forecasting Appl. Soft Comput. 13 2 2013 911 920
    • (2013) Appl. Soft Comput. , vol.13 , Issue.2 , pp. 911-920
    • Wei, L.-Y.1
  • 59
    • 84896857665 scopus 로고    scopus 로고
    • A hybrid ANFIS based on n-period moving average model to forecast TAIEX stock
    • L.Y. Wei, C.H. Cheng, H.H. Wu A hybrid ANFIS based on n-period moving average model to forecast TAIEX stock Appl. Soft Comput. 19 2014 86 92
    • (2014) Appl. Soft Comput. , vol.19 , pp. 86-92
    • Wei, L.Y.1    Cheng, C.H.2    Wu, H.H.3
  • 61
    • 58549116080 scopus 로고    scopus 로고
    • A new approach for determining the length of intervals for fuzzy time series
    • U. Yolcu, E. Egrioglu, V.R. Uslu, M.A. Basaran, C.H. Aladag A new approach for determining the length of intervals for fuzzy time series Appl. Soft Comput. 9 2 2009 647 651
    • (2009) Appl. Soft Comput. , vol.9 , Issue.2 , pp. 647-651
    • Yolcu, U.1    Egrioglu, E.2    Uslu, V.R.3    Basaran, M.A.4    Aladag, C.H.5
  • 62
    • 13444251121 scopus 로고    scopus 로고
    • Weighted fuzzy time series model for TAIEX forecasting
    • H.K. Yu Weighted fuzzy time series model for TAIEX forecasting Phys. A: Stat. Mech. Appl. 349 3-4 2004 609 624
    • (2004) Phys. A: Stat. Mech. Appl. , vol.349 , Issue.3-4 , pp. 609-624
    • Yu, H.K.1
  • 63
    • 38649123668 scopus 로고    scopus 로고
    • A bivariate fuzzy time series model to forecast the TAIEX
    • T.H.K. Yu, K.H. Huarng A bivariate fuzzy time series model to forecast the TAIEX Expert Syst. Appl. 34 4 2008 2945 2952
    • (2008) Expert Syst. Appl. , vol.34 , Issue.4 , pp. 2945-2952
    • Yu, T.H.K.1    Huarng, K.H.2
  • 64
    • 71249088973 scopus 로고    scopus 로고
    • A neural network-based fuzzy time series model to improve forecasting
    • T.H.K. Yu, K.H. Huarng A neural network-based fuzzy time series model to improve forecasting Expert Syst. Appl. 37 4 2010 3366 3372
    • (2010) Expert Syst. Appl. , vol.37 , Issue.4 , pp. 3366-3372
    • Yu, T.H.K.1    Huarng, K.H.2
  • 65
    • 77950236164 scopus 로고    scopus 로고
    • Corrigendum to "a bivariate fuzzy time series model to forecast the TAIEX" [Expert Systems with Applications 34 (4) (2010) 2945-2952]
    • T.H.K. Yu, K.H. Huarng Corrigendum to "A bivariate fuzzy time series model to forecast the TAIEX" [Expert Systems with Applications 34 (4) (2010) 2945-2952] Expert Syst. Appl. 37 7 2010 5529
    • (2010) Expert Syst. Appl. , vol.37 , Issue.7 , pp. 5529
    • Yu, T.H.K.1    Huarng, K.H.2
  • 66
    • 34248666540 scopus 로고
    • Fuzzy sets
    • L.A. Zadeh Fuzzy sets Inf. Control 8 3 1965 338 353
    • (1965) Inf. Control , vol.8 , Issue.3 , pp. 338-353
    • Zadeh, L.A.1
  • 67
    • 84944185615 scopus 로고    scopus 로고
    • TAIEX. [Online]
    • TAIEX. [Online]. Available: http://www.twse.com.tw/en/trading/exchange/FMTQIK/FMTQIK.php.


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