-
1
-
-
84959140574
-
A hybrid ANFIS model based on empirical mode decomposition for stock time series forecasting
-
[1] Wei, L.-Y., A hybrid ANFIS model based on empirical mode decomposition for stock time series forecasting. Appl. Soft Comput. 42 (2016), 368–376.
-
(2016)
Appl. Soft Comput.
, vol.42
, pp. 368-376
-
-
Wei, L.-Y.1
-
2
-
-
84979530192
-
Enhanced accuracy of fuzzy time series model using ordered weighted aggregation
-
[2] Garg, B., Garg, R., Enhanced accuracy of fuzzy time series model using ordered weighted aggregation. Appl. Soft Comput. 48 (2016), 265–280.
-
(2016)
Appl. Soft Comput.
, vol.48
, pp. 265-280
-
-
Garg, B.1
Garg, R.2
-
3
-
-
84946594359
-
An improved multi-step forecasting model based on WRF ensembles and creative fuzzy systems for wind speed
-
[3] Zhao, J., Guo, Z.H., Su, Z.Y., Zhao, Z.Y., Xiao, X., Liu, F., An improved multi-step forecasting model based on WRF ensembles and creative fuzzy systems for wind speed. Appl. Energy. 162 (2016), 808–826.
-
(2016)
Appl. Energy.
, vol.162
, pp. 808-826
-
-
Zhao, J.1
Guo, Z.H.2
Su, Z.Y.3
Zhao, Z.Y.4
Xiao, X.5
Liu, F.6
-
4
-
-
84961292008
-
A new hybrid enhanced local linear neuro-fuzzy model based on the optimized singular spectrum analysis and its application for nonlinear and chaotic time series forecasting
-
[4] Abdollahzade, M., Miranian, A., Hassani, H., Iranmanesh, H., A new hybrid enhanced local linear neuro-fuzzy model based on the optimized singular spectrum analysis and its application for nonlinear and chaotic time series forecasting. Inf. Sci. (Ny). 295 (2015), 107–125.
-
(2015)
Inf. Sci. (Ny).
, vol.295
, pp. 107-125
-
-
Abdollahzade, M.1
Miranian, A.2
Hassani, H.3
Iranmanesh, H.4
-
5
-
-
84920134754
-
A new linguistic out-sample approach of fuzzy time series for daily forecasting of Malaysian electricity load demand
-
[5] Efendi, R., Ismail, Z., Deris, M.M., A new linguistic out-sample approach of fuzzy time series for daily forecasting of Malaysian electricity load demand. Appl. Soft Comput. J. 28 (2015), 422–430.
-
(2015)
Appl. Soft Comput. J.
, vol.28
, pp. 422-430
-
-
Efendi, R.1
Ismail, Z.2
Deris, M.M.3
-
6
-
-
84880918022
-
Nonlinear power system load identification using local model networks
-
[6] Miranian, A., Rouzbehi, K., Nonlinear power system load identification using local model networks. IEEE Trans. Power Syst. 28 (2013), 2872–2881.
-
(2013)
IEEE Trans. Power Syst.
, vol.28
, pp. 2872-2881
-
-
Miranian, A.1
Rouzbehi, K.2
-
7
-
-
84963768497
-
Combining ARFIMA models and fuzzy time series for the forecast of long memory time series
-
[7] Javedani Sadaei, H., Enayatifar, R., Guimarães, F.G., Mahmud, M., Alzamil, Z.A., Combining ARFIMA models and fuzzy time series for the forecast of long memory time series. Neurocomputing 175 (2016), 782–796.
-
(2016)
Neurocomputing
, vol.175
, pp. 782-796
-
-
Javedani Sadaei, H.1
Enayatifar, R.2
Guimarães, F.G.3
Mahmud, M.4
Alzamil, Z.A.5
-
8
-
-
84950161298
-
Multiobjective optimization based adaptive models with fuzzy decision making for stock market forecasting
-
[8] Majhi, B., Anish, C.M., Multiobjective optimization based adaptive models with fuzzy decision making for stock market forecasting. Neurocomputing 167 (2015), 502–511.
-
(2015)
Neurocomputing
, vol.167
, pp. 502-511
-
-
Majhi, B.1
Anish, C.M.2
-
9
-
-
84971667612
-
A hybrid fuzzy time series model based on ANFIS and integrated nonlinear feature selection method for forecasting stock
-
[9] Su, C.H., Cheng, C.H., A hybrid fuzzy time series model based on ANFIS and integrated nonlinear feature selection method for forecasting stock. Neurocomputing 205 (2016), 264–273.
-
(2016)
Neurocomputing
, vol.205
, pp. 264-273
-
-
Su, C.H.1
Cheng, C.H.2
-
10
-
-
84891745412
-
Interval type-2 fuzzy weight adjustment for backpropagation neural networks with application in time series prediction
-
[10] Gaxiola, F., Melin, P., Valdez, F., Castillo, O., Interval type-2 fuzzy weight adjustment for backpropagation neural networks with application in time series prediction. Inf. Sci. (Ny) 260 (2014), 1–14.
-
(2014)
Inf. Sci. (Ny)
, vol.260
, pp. 1-14
-
-
Gaxiola, F.1
Melin, P.2
Valdez, F.3
Castillo, O.4
-
11
-
-
84955109861
-
A multi-granularity combined prediction model based on fuzzy trend forecasting and particle swarm techniques
-
[11] Deng, W., Wang, G., Zhang, X., Xu, J., Li, G., A multi-granularity combined prediction model based on fuzzy trend forecasting and particle swarm techniques. Neurocomputing 173 (2016), 1671–1682.
-
(2016)
Neurocomputing
, vol.173
, pp. 1671-1682
-
-
Deng, W.1
Wang, G.2
Zhang, X.3
Xu, J.4
Li, G.5
-
12
-
-
0016458950
-
The concept of a linguistic variable and its application to approximate reasoning—I
-
[12] Zadeh, L.A., The concept of a linguistic variable and its application to approximate reasoning—I. Inf. Sci. (Ny) 8 (1975), 199–249.
-
(1975)
Inf. Sci. (Ny)
, vol.8
, pp. 199-249
-
-
Zadeh, L.A.1
-
14
-
-
0000173897
-
Fuzzy time series and its model
-
[14] Song, Q., Chissom, B.S., Fuzzy time series and its model. Fuzzy Sets Syst. 54 (1993), 269–277.
-
(1993)
Fuzzy Sets Syst.
, vol.54
, pp. 269-277
-
-
Song, Q.1
Chissom, B.S.2
-
15
-
-
38149146997
-
Forecasting enrollments with fuzzy time series—part II
-
[15] Song, Q., Chissom, B.S., Forecasting enrollments with fuzzy time series—part II. Fuzzy Sets Syst. 62 (1994), 1–8.
-
(1994)
Fuzzy Sets Syst.
, vol.62
, pp. 1-8
-
-
Song, Q.1
Chissom, B.S.2
-
16
-
-
77950187512
-
A fuzzy integrated logical forecasting model for dry bulk shipping index forecasting: an improved fuzzy time series approach
-
[16] Duru, O., A fuzzy integrated logical forecasting model for dry bulk shipping index forecasting: an improved fuzzy time series approach. Expert Syst. Appl. 37 (2010), 5372–5380.
-
(2010)
Expert Syst. Appl.
, vol.37
, pp. 5372-5380
-
-
Duru, O.1
-
17
-
-
84858343140
-
Application of fuzzy time series models for forecasting pollution concentrations
-
[17] Domańska, D., Wojtylak, M., Application of fuzzy time series models for forecasting pollution concentrations. Expert Syst. Appl. 39 (2012), 7673–7679.
-
(2012)
Expert Syst. Appl.
, vol.39
, pp. 7673-7679
-
-
Domańska, D.1
Wojtylak, M.2
-
18
-
-
34247628435
-
A robust method of forecasting based on fuzzy time series
-
[18] Singh, S.R., A robust method of forecasting based on fuzzy time series. Appl. Math. Comput. 188 (2007), 472–484.
-
(2007)
Appl. Math. Comput.
, vol.188
, pp. 472-484
-
-
Singh, S.R.1
-
19
-
-
84979527749
-
A novel model: Dynamic choice artificial neural network (DCANN) for an electricity price forecasting system
-
[19] Wang, J., Liu, F., Song, Y., Zhao, J., A novel model: Dynamic choice artificial neural network (DCANN) for an electricity price forecasting system. Appl. Soft Comput. 48 (2016), 281–297.
-
(2016)
Appl. Soft Comput.
, vol.48
, pp. 281-297
-
-
Wang, J.1
Liu, F.2
Song, Y.3
Zhao, J.4
-
20
-
-
84920134754
-
A new linguistic out-sample approach of fuzzy time series for daily forecasting of Malaysian electricity load demand
-
[20] Efendi, R., Ismail, Z., Deris, M.M., A new linguistic out-sample approach of fuzzy time series for daily forecasting of Malaysian electricity load demand. Appl. Soft Comput. J. 28 (2015), 422–430.
-
(2015)
Appl. Soft Comput. J.
, vol.28
, pp. 422-430
-
-
Efendi, R.1
Ismail, Z.2
Deris, M.M.3
-
21
-
-
34547132315
-
A multivariate heuristic model for fuzzy time-series forecasting.: IEEE Trans
-
[21] Huarng, K.H., Yu, H.K., Yu, W.H., A multivariate heuristic model for fuzzy time-series forecasting.: IEEE Trans. Syst. Man Cybern. Part B: Cybern. A: Publ. IEEE Syst. Man Cybern. Soc. 37 (2007), 836–846.
-
(2007)
Syst. Man Cybern. Part B: Cybern. A: Publ. IEEE Syst. Man Cybern. Soc.
, vol.37
, pp. 836-846
-
-
Huarng, K.H.1
Yu, H.K.2
Yu, W.H.3
-
22
-
-
84971667612
-
Neurocomputing A hybrid fuzzy time series model based on ANFIS and integrated nonlinear feature selection method for forecasting stock
-
[22] Su, C., Cheng, C., Neurocomputing A hybrid fuzzy time series model based on ANFIS and integrated nonlinear feature selection method for forecasting stock. Neurocomputing 205 (2016), 264–273.
-
(2016)
Neurocomputing
, vol.205
, pp. 264-273
-
-
Su, C.1
Cheng, C.2
-
23
-
-
84918524947
-
Prediction of stock index futures prices based on fuzzy sets and multivariate fuzzy time series
-
[23] Sun, B., Guo, H., Reza Karimi, H., Ge, Y., Xiong, S., Prediction of stock index futures prices based on fuzzy sets and multivariate fuzzy time series. Neurocomputing 151 (2015), 1528–1536.
-
(2015)
Neurocomputing
, vol.151
, pp. 1528-1536
-
-
Sun, B.1
Guo, H.2
Reza Karimi, H.3
Ge, Y.4
Xiong, S.5
-
24
-
-
84962175336
-
Stock market forecasting by using a hybrid model of exponential fuzzy time series
-
[24] Mirzaei Talarposhti, F., Javedani Sadaei, H., Enayatifar, R., Gadelha Guimarães, F., Mahmud, M., Eslami, T., Stock market forecasting by using a hybrid model of exponential fuzzy time series. Int. J. Approx. Reason. 70 (2016), 79–98.
-
(2016)
Int. J. Approx. Reason.
, vol.70
, pp. 79-98
-
-
Mirzaei Talarposhti, F.1
Javedani Sadaei, H.2
Enayatifar, R.3
Gadelha Guimarães, F.4
Mahmud, M.5
Eslami, T.6
-
25
-
-
72049122380
-
TAIFEX and KOSPI 200 forecasting based on two-factors high-order fuzzy time series and particle swarm optimization
-
[25] Il Park, J., Lee, D.J., Song, C.K., Chun, M.G., TAIFEX and KOSPI 200 forecasting based on two-factors high-order fuzzy time series and particle swarm optimization. Expert Syst. Appl. 37 (2010), 959–967.
-
(2010)
Expert Syst. Appl.
, vol.37
, pp. 959-967
-
-
Il Park, J.1
Lee, D.J.2
Song, C.K.3
Chun, M.G.4
-
26
-
-
84950124977
-
A hybrid model based on differential fuzzy logic relationships and imperialist competitive algorithm for stock market forecasting
-
[26] Sadaei, H.J., Enayatifar, R., Lee, M.H., Mahmud, M., A hybrid model based on differential fuzzy logic relationships and imperialist competitive algorithm for stock market forecasting. Appl. Soft Comput. J. 40 (2016), 132–149.
-
(2016)
Appl. Soft Comput. J.
, vol.40
, pp. 132-149
-
-
Sadaei, H.J.1
Enayatifar, R.2
Lee, M.H.3
Mahmud, M.4
-
27
-
-
84959140574
-
A hybrid ANFIS model based on empirical mode decomposition for stock time series forecasting
-
[27] Wei, L.-Y., A hybrid ANFIS model based on empirical mode decomposition for stock time series forecasting. Appl. Soft Comput. 42 (2016), 368–376.
-
(2016)
Appl. Soft Comput.
, vol.42
, pp. 368-376
-
-
Wei, L.-Y.1
-
28
-
-
0035502063
-
Effective lengths of intervals to improve forecasting in fuzzy time series
-
[28] Huarng, K., Effective lengths of intervals to improve forecasting in fuzzy time series. Fuzzy Sets Syst. 123 (2001), 387–394.
-
(2001)
Fuzzy Sets Syst.
, vol.123
, pp. 387-394
-
-
Huarng, K.1
-
29
-
-
79952448157
-
A hybrid forecasting model for enrollments based on aggregated fuzzy time series and particle swarm optimization
-
[29] Huang, Y.L., Horng, S.J., He, M., Fan, P., Kao, T.W., Khan, M.K., Lai, J.L., Kuo, I.H., A hybrid forecasting model for enrollments based on aggregated fuzzy time series and particle swarm optimization. Expert Syst. Appl. 38 (2011), 8014–8023.
-
(2011)
Expert Syst. Appl.
, vol.38
, pp. 8014-8023
-
-
Huang, Y.L.1
Horng, S.J.2
He, M.3
Fan, P.4
Kao, T.W.5
Khan, M.K.6
Lai, J.L.7
Kuo, I.H.8
-
30
-
-
77951205997
-
Choosing the appropriate order in fuzzy time series: a new N −factor fuzzy time series for prediction of the auto industry production
-
[30] Avazbeigi, M., Doulabi, S.H.H., Karimi, B., Choosing the appropriate order in fuzzy time series: a new N −factor fuzzy time series for prediction of the auto industry production. Expert Syst. Appl. 37 (2010), 5630–5639.
-
(2010)
Expert Syst. Appl.
, vol.37
, pp. 5630-5639
-
-
Avazbeigi, M.1
Doulabi, S.H.H.2
Karimi, B.3
-
31
-
-
77950189383
-
Finding an optimal interval length in high order fuzzy time series
-
[31] Egrioglu, E., Aladag, C.H., Yolcu, U., Uslu, V.R., Basaran, M.A., Finding an optimal interval length in high order fuzzy time series. Expert Syst. Appl. 37 (2010), 5052–5055.
-
(2010)
Expert Syst. Appl.
, vol.37
, pp. 5052-5055
-
-
Egrioglu, E.1
Aladag, C.H.2
Yolcu, U.3
Uslu, V.R.4
Basaran, M.A.5
-
32
-
-
80052034553
-
Fuzzy forecasting based on high-order fuzzy logical relationships and automatic clustering techniques
-
[32] Chen, S.M., Tanuwijaya, K., Fuzzy forecasting based on high-order fuzzy logical relationships and automatic clustering techniques. Expert Syst. Appl. 38 (2011), 15425–15437.
-
(2011)
Expert Syst. Appl.
, vol.38
, pp. 15425-15437
-
-
Chen, S.M.1
Tanuwijaya, K.2
-
33
-
-
84961289704
-
A hybrid fuzzy time series model based on granular computing for stock price forecasting
-
[33] Chen, M.Y., Chen, B.T., A hybrid fuzzy time series model based on granular computing for stock price forecasting. Inf. Sci. (Ny) 294 (2015), 227–241.
-
(2015)
Inf. Sci. (Ny)
, vol.294
, pp. 227-241
-
-
Chen, M.Y.1
Chen, B.T.2
-
34
-
-
0001073047
-
Forecasting enrollments based on fuzzy time series
-
[34] Chen, S.M., Forecasting enrollments based on fuzzy time series. Fuzzy Sets Syst. 81 (1996), 311–319.
-
(1996)
Fuzzy Sets Syst.
, vol.81
, pp. 311-319
-
-
Chen, S.M.1
-
35
-
-
13444251121
-
Weighted fuzzy time series models for TAIEX forecasting
-
[35] Yu, H.K., Weighted fuzzy time series models for TAIEX forecasting. Phys. A Stat. Mech. Appl. 349 (2005), 609–624.
-
(2005)
Phys. A Stat. Mech. Appl.
, vol.349
, pp. 609-624
-
-
Yu, H.K.1
-
36
-
-
58349090456
-
Forecasting in high order fuzzy times series by using neural networks to define fuzzy relations
-
[36] Aladag, C.H., Basaran, M.A., Egrioglu, E., Yolcu, U., Uslu, V.R., Forecasting in high order fuzzy times series by using neural networks to define fuzzy relations. Expert Syst. Appl. 36 (2009), 4228–4231.
-
(2009)
Expert Syst. Appl.
, vol.36
, pp. 4228-4231
-
-
Aladag, C.H.1
Basaran, M.A.2
Egrioglu, E.3
Yolcu, U.4
Uslu, V.R.5
-
37
-
-
79551645335
-
TAIEX forecasting based on fuzzy time series and fuzzy variation groups
-
[37] Chen, S.M., Chen, C.D., TAIEX forecasting based on fuzzy time series and fuzzy variation groups. IEEE Trans. Fuzzy Syst. 19 (2011), 1–12.
-
(2011)
IEEE Trans. Fuzzy Syst.
, vol.19
, pp. 1-12
-
-
Chen, S.M.1
Chen, C.D.2
-
38
-
-
58349092063
-
An improved method for forecasting enrollments based on fuzzy time series and particle swarm optimization
-
[38] Kuo, I.H., Horng, S.J., Kao, T.W., Lin, T.L., Lee, C.L., Pan, Y., An improved method for forecasting enrollments based on fuzzy time series and particle swarm optimization. Expert Syst. Appl. 36 (2009), 6108–6117.
-
(2009)
Expert Syst. Appl.
, vol.36
, 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
-
39
-
-
84864750553
-
A new time invariant fuzzy time series forecasting method based on particle swarm optimization
-
[39] Aladag, C.H., Yolcu, U., Egrioglu, E., Dalar, A.Z., A new time invariant fuzzy time series forecasting method based on particle swarm optimization. Appl. Soft Comput. 12 (2012), 3291–3299.
-
(2012)
Appl. Soft Comput.
, vol.12
, pp. 3291-3299
-
-
Aladag, C.H.1
Yolcu, U.2
Egrioglu, E.3
Dalar, A.Z.4
-
40
-
-
58549116080
-
A new approach for determining the length of intervals for fuzzy time series
-
[40] Yolcu, U., Egrioglu, E., Uslu, V.R., Basaran, M.A., Aladag, C.H., A new approach for determining the length of intervals for fuzzy time series. Appl. Soft Comput. 9 (2009), 647–651.
-
(2009)
Appl. Soft Comput.
, vol.9
, pp. 647-651
-
-
Yolcu, U.1
Egrioglu, E.2
Uslu, V.R.3
Basaran, M.A.4
Aladag, C.H.5
-
41
-
-
84859717982
-
Fuzzy time series forecasting with a probabilistic smoothing hidden markov model
-
[41] Cheng, Y.C., Li, S.T., Fuzzy time series forecasting with a probabilistic smoothing hidden markov model. Fuzzy Syst. IEEE Trans. 20 (2012), 291–304.
-
(2012)
Fuzzy Syst. IEEE Trans.
, vol.20
, pp. 291-304
-
-
Cheng, Y.C.1
Li, S.T.2
-
42
-
-
33745177648
-
Handling forecasting problems based on two-factors high-order fuzzy time series
-
[42] Lee, L.W., Wang, L.H., Chen, S.M., Leu, Y.H., Handling forecasting problems based on two-factors high-order fuzzy time series. IEEE Trans. Fuzzy Syst. 14 (2006), 468–477.
-
(2006)
IEEE Trans. Fuzzy Syst.
, vol.14
, pp. 468-477
-
-
Lee, L.W.1
Wang, L.H.2
Chen, S.M.3
Leu, Y.H.4
-
43
-
-
84888304290
-
Online fuzzy time series analysis based on entropy discretization and a Fast Fourier Transform
-
[43] Chen, M.-Y., Chen, B.-T., Online fuzzy time series analysis based on entropy discretization and a Fast Fourier Transform. Appl. Soft Comput. 14 (2014), 156–166.
-
(2014)
Appl. Soft Comput.
, vol.14
, pp. 156-166
-
-
Chen, M.-Y.1
Chen, B.-T.2
-
44
-
-
0023855863
-
On ordered weighted averaging aggregation operators in multicriteria decisionmaking
-
[44] Yager, R.R., On ordered weighted averaging aggregation operators in multicriteria decisionmaking. IEEE Trans. Syst. Man Cybern. 18 (1988), 183–190.
-
(1988)
IEEE Trans. Syst. Man Cybern.
, vol.18
, pp. 183-190
-
-
Yager, R.R.1
-
45
-
-
50549092695
-
Time series smoothing and OWA aggregation
-
[45] Yager, R.R., Time series smoothing and OWA aggregation. IEEE Trans. Fuzzy Syst. 16 (2008), 994–1007.
-
(2008)
IEEE Trans. Fuzzy Syst.
, vol.16
, pp. 994-1007
-
-
Yager, R.R.1
-
46
-
-
0034974417
-
A new heuristic optimization algorithm: harmony search
-
[46] Zong Woo Geem, Joong Hoon Kim, Loganathan, G., A new heuristic optimization algorithm: harmony search. Simulation 76 (2001), 60–68.
-
(2001)
Simulation
, vol.76
, pp. 60-68
-
-
Geem, Z.W.1
Kim, J.H.2
Loganathan, G.3
-
47
-
-
84976273801
-
A differential-based harmony search algorithm for the optimization of continuous problems
-
[47] Abedinpourshotorban, H., Hasan, S., Shamsuddin, S.M., As'sahra, N.F., A differential-based harmony search algorithm for the optimization of continuous problems. Expert Syst. Appl., 2016.
-
(2016)
Expert Syst. Appl.
-
-
Abedinpourshotorban, H.1
Hasan, S.2
Shamsuddin, S.M.3
As'sahra, N.F.4
-
48
-
-
85012943678
-
The first systems of weighted differential and integral calculus
-
[48] Grossman, Michael, The first systems of weighted differential and integral calculus. Archimedes Foundation, 1980.
-
(1980)
Archimedes Foundation
-
-
Grossman, M.1
-
49
-
-
0029778561
-
Quantifier guided aggregation using OWA operators
-
[49] Yager, R., Quantifier guided aggregation using OWA operators. Int. J. Intell. Syst. 11 (1996), 49–73.
-
(1996)
Int. J. Intell. Syst.
, vol.11
, pp. 49-73
-
-
Yager, R.1
-
50
-
-
0027961447
-
Parameterized and-like and or-like owa operators
-
[50] YAGER, R.R., FILEV, D.P., Parameterized and-like and or-like owa operators. Int. J. Gen. Syst. 22 (1994), 297–316.
-
(1994)
Int. J. Gen. Syst.
, vol.22
, pp. 297-316
-
-
YAGER, R.R.1
FILEV, D.P.2
-
51
-
-
36148995926
-
Fuzzy time-series based on adaptive expectation model for TAIEX forecasting
-
[51] Cheng, C.H., Chen, T.L., Teoh, H.J., Chiang, C.H., Fuzzy time-series based on adaptive expectation model for TAIEX forecasting. Expert Syst. Appl. 34 (2008), 1126–1132.
-
(2008)
Expert Syst. Appl.
, vol.34
, pp. 1126-1132
-
-
Cheng, C.H.1
Chen, T.L.2
Teoh, H.J.3
Chiang, C.H.4
-
52
-
-
84950124977
-
A hybrid model based on differential fuzzy logic relationships and imperialist competitive algorithm for stock market forecasting
-
[52] Sadaei, H.J., Enayatifar, R., Lee, M.H., Mahmud, M., A hybrid model based on differential fuzzy logic relationships and imperialist competitive algorithm for stock market forecasting. Appl. Soft Comput. J. 40 (2016), 132–149.
-
(2016)
Appl. Soft Comput. J.
, vol.40
, pp. 132-149
-
-
Sadaei, H.J.1
Enayatifar, R.2
Lee, M.H.3
Mahmud, M.4
-
53
-
-
84974536563
-
A novel forecasting method based on multi-order fuzzy time series and technical analysis
-
[53] Ye, F., Zhang, L., Zhang, D., Fujita, H., Gong, Z., A novel forecasting method based on multi-order fuzzy time series and technical analysis. Inf. Sci. (Ny). 367 (2016), 41–57.
-
(2016)
Inf. Sci. (Ny).
, vol.367
, pp. 41-57
-
-
Ye, F.1
Zhang, L.2
Zhang, D.3
Fujita, H.4
Gong, Z.5
-
54
-
-
84992111825
-
High order fuzzy time series forecasting method based on an intersection operation
-
[54] Cagcag Yolcu, O., Yolcu, U., Egrioglu, E., Aladag, C.H., High order fuzzy time series forecasting method based on an intersection operation. Appl. Math. Model. 0 (2016), 1–16.
-
(2016)
Appl. Math. Model.
, pp. 1-16
-
-
Cagcag Yolcu, O.1
Yolcu, U.2
Egrioglu, E.3
Aladag, C.H.4
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