Combined approach to forecasting of manufacturing system target indicators in a changing external environment

Procedia Computer Science - Tập 159 - Trang 943-952 - 2019
Zinaida Avdeeva1, Elena Grebenyuk1, Svetlana Kovriga1
1Trapeznikov’s Institute of Control Sciences of RAS, Profsouznaya st., 65, 117997, Moscow

Tài liệu tham khảo

Makridakis, 2009, “Forecasting and uncertainty in the economic and business world.”, International Journal of Forecasting, 25, 794, 10.1016/j.ijforecast.2009.05.012 С., 2008, “Forecasting as a strategic decision-making tool: a review and discussion with emphasis on marketing management.”, European journal of scientific research, 20, 419 Ansoff, 1975, “Managing strategic surprise by response to weak signals.”, California Management Review, 18, 21, 10.2307/41164635 Armstrong, 1987, “Forecasting Methods for marketing: review of empirical research.”, International Journal of Forecasting, 3, 355, 10.1016/0169-2070(87)90029-X Papageorgiou, 2013, 281 Fathian, 2009, “Predicting a model for agile NPD process with fuzzy cognitive map: The case of Iranian manufacturing enterprises.” Inter. J. of, advanced manufacturing technology, 41, 1240 Groumpos, 2014, “Modelling and analyzing manufacturing systems using advanced methods of fuzzy cognitive maps.”, J. of computational intelligence and electronic systems, 3, 143, 10.1166/jcies.2014.1079 Stach, 2008, “Numerical and linguistic prediction of time series.”, IEEE Trans. Fuzzy Syst., 16, 61, 10.1109/TFUZZ.2007.902020 Papageorgiou, 2017, “A two-stage model for time series prediction based on fuzzy cognitive maps and neural networks.”, Neurocomputing, 232, 113, 10.1016/j.neucom.2016.10.072 Shan, 2018, “The data-driven fuzzy cognitive map model and its application to prediction of time series.”, International Journal of Innovative Computing, Information and Control, 14, 1583 Froelich, 2014, “Evolutionary learning of fuzzy grey cognitive maps for the forecasting of multivariate, interval-valued time series.”, Int. J. Approx. Reason, 55, 1319, 10.1016/j.ijar.2014.02.006 Homendaa, 2017, “Clustering techniques for fuzzy cognitive map design for time series modeling.”, Neurocomputing, 232, 3, 10.1016/j.neucom.2016.08.119 Hong, 2004, “Integrated approach of cognitive maps and neural networks using qualitative information on the World Wide Web: the KBNMiner.”, Expert Systems, 21, 243, 10.1111/j.1468-0394.2004.00282.x N., Abramova, and other. (2010). “Subject-formal methods based on cognitive maps and the problem of risk due to the human factor.” In: Cognitive maps, 35-62. IN-TECH. Khan, 2004, “Group decision support using fuzzy cognitive maps for causal reasoning.”, Group Decision and Negotiation, 13, 463, 10.1023/B:GRUP.0000045748.89201.f3 Gray, 2014, 29 Avdeeva, 2016, “On the statement of a system development control problem with use of SWOT-analysis on the cognitive model of a situation.”, IFAC-Papers Online, 49, 1838, 10.1016/j.ifacol.2016.07.850 R.F. Engle, and C.W.J., Granger. (1987) Co-integration and error correction: representation, estimation, and testing. University of Nottingham, Nottingham NG7 ZRD, England. Dickey, 1979, “Distribution of the estimators for autoregressive time series with a unit root.”, Journal of the American Statistical Association, 74, 427 Perron, 1988, “Trends and random walks in macroeconomic time series.”, Journal of Economic Dynamics and Control, 10, 139 Kwiatkowski, 1992, “Testing the null hypothesis of stationarity against the alternative of a unit root.”, Journal of Econometrics, 54, 159, 10.1016/0304-4076(92)90104-Y Grebenyuk, 2005, “Methods of analyzing the nonstationary time series with implicit changes in their properties.”, Autom. Remote Control, 66, 1871, 10.1007/s10513-005-0221-z Phillips, 1990, “Asymptotic properties of residual based tests for cointegration.”, Econometrica, 58, 165, 10.2307/2938339 Johansen, 1991, “Estimation and hypothesis testing of cointegration vectors in Gaussian vector autoregressive models.”, Econometrica, 59, 1551, 10.2307/2938278 Granger, 1969, “Investigating causal relations by econometric models and cross-spectral methods.”, Econometrica., 37, 424, 10.2307/1912791 Toda, 1995, “Statistical inference in vector autoregressions with possibly integrated processes.”, Journal of Econometrics, 66, 225, 10.1016/0304-4076(94)01616-8 Dolado, 1996, “Making Wald tests work for cointegrated VAR systems.”, Journal Econometric Reviews, 15, 369, 10.1080/07474939608800362 Toda-Yamamoto implementation in ‘R’ (2012). Internet resource: Datazen - Data analytics & Consulting. https://datazen.info/toda-yamamoto-implementation-in-r/ (date of request: March’2019) M., Basseville, and I.V., Nikiforov. (1993) Detection of abrupt changes: theory and application. Prentice-Hall. Grebenyuk, 2004, “Nonstationary process monitoring: analysis and investigation of steady state changes.”, Probl. Upr.,, 3, 15